Publications: Dimitri Bertsekas

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  • Affiliation: Arizona State University - Massachusetts Institute of Technology
  • Google Scholar ID: VUmcVOAAAAAJ
  • Total Publications: 407

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Title Year Citations Score
Nonlinear programming
Athena Scientific, 1999
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1999 19821 100.0%
Data networks
Prentice-hall, 1987
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1987 12682 100.0%
Dynamic programming and optimal control
Athena Scientific, 1995
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1995 16114 100.0%
Parallel and distributed computation
Prentice Hall Inc., 1989
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1989 9295 99.9%
Constrained optimization and Lagrange multiplier methods
Academic press, 2014
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2014 6529 99.9%
Neuro-dynamic programming
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on, 1996
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1996 8171 99.9%
Dynamic programming and stochastic control
Systems, Man and Cybernetics, IEEE Transactions on, 1976
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1976 4587 99.7%
Introduction to linear optimization
Athena scientific 6, 479-530, 1997
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1997 4365 99.6%
On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators
Mathematical Programming 55 (1-3), 293-318, 1992
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1992 3238 99.5%
Convex analysis and optimization
Athena Scientific, 2003
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2003 3061 99.4%
Stochastic optimal control: the discrete-time case
Athena Scientific, 1996
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1996 2753 99.3%
Distributed asynchronous deterministic and stochastic gradient optimization algorithms
IEEE transactions on automatic control 31 (9), 803-812, 1986
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1986 2286 99.0%
Reinforcement learning and optimal control
Athena Scientific, 2019
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2019 826 99.0%
Approximate dynamic programming
(No Title), 2018
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2018 951 98.8%
Convex optimization theory
Athena Scientific, 2009
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2009 1137 98.3%
Abstract dynamic programming
Athena Scientific, 2022
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2022 205 98.3%
Convex optimization algorithms
Athena Scientific, 2015
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2015 814 98.3%
Network optimization: continuous and discrete models
Athena Scientific, 1998
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1998 1347 98.0%
Recursive state estimation for a set-membership description of uncertainty
IEEE Transactions on Automatic Control 16 (2), 117-128, 1971
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1971 930 98.0%
Introduction to Probability
Athena Scientific, 2002
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2002 1354 98.0%
Projected Newton methods for optimization problems with simple constraints
SIAM Journal on control and Optimization 20 (2), 221-246, 1982
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1982 884 97.7%
On the Goldstein-Levitin-Polyak gradient projection method
IEEE Transactions on automatic control 21 (2), 174-184, 1976
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1976 771 97.0%
On the minimax reachability of target sets and target tubes
Automatica 7 (2), 233-247, 1971
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1971 561 96.7%
The auction algorithm: A distributed relaxation method for the assignment problem
Annals of operations research 14 (1), 105-123, 1988
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1988 772 96.6%
An analysis of stochastic shortest path problems
Mathematics of Operations Research 16 (3), 580-595, 1991
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1991 691 96.0%
Linear network optimization: algorithms and codes
MIT press, 1991
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1991 650 95.6%
Incremental subgradient methods for nondifferentiable optimization
SIAM Journal on Optimization 12 (1), 109-138, 2001
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2001 746 95.5%
Distributed algorithms for generating loop-free routes in networks with frequently changing topology
IEEE transactions on communications 29 (1), 11-18, 1981
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1981 536 95.4%
Incremental gradient, subgradient, and proximal methods for convex optimization: A survey
Optimization for Machine Learning 2010 (1-38), 3, 2011
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2011 508 95.3%
Multiplier methods: A survey
Automatica 12 (2), 133-145, 1976
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1976 484 95.0%
Auction algorithms for network flow problems: A tutorial introduction
Computational optimization and applications 1, 7-66, 1992
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1992 561 94.7%
Projection methods for variational inequalities with application to the traffic assignment problem
Nondifferential and variational techniques in optimization, 139-159, 2009
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2009 485 94.6%
A new algorithm for the assignment problem
Mathematical Programming 21 (1), 152-171, 1981
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1981 406 93.8%
Gradient convergence in gradient methods with errors
SIAM Journal on Optimization 10 (3), 627-642, 2000
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2000 575 93.7%
Dynamic programming and optimal control
Journal of the Operational Research Society 47 (6), 833-833, 1996
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1996 481 93.6%
Incremental proximal methods for large scale convex optimization
Mathematical programming 129 (2), 163-195, 2011
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2011 382 93.4%
Infinite time reachability of state-space regions by using feedback control
IEEE Transactions on Automatic Control 17 (5), 604-613, 1972
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1972 331 93.3%
Necessary and sufficient conditions for a penalty method to be exact
Mathematical programming 9 (1), 87-99, 1975
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1975 262 92.2%
Distributed asynchronous computation of fixed points
Mathematical Programming 27 (1), 107-120, 1983
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1983 339 92.1%
Athena Scientific optimization and computation series
Athena Scientific, 1999
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1999 446 92.1%
Two-metric projection methods for constrained optimization
SIAM Journal on Control and Optimization 22 (6), 936-964, 1984
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1984 314 92.0%
Rollout algorithms for stochastic scheduling problems
Journal of Heuristics 5, 89-108, 1999
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1999 443 92.0%
Optimal short-term scheduling of large-scale power systems
IEEE Transactions on Automatic Control 28 (1), 1-11, 1983
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1983 332 91.9%
The auction algorithm for assignment and other network flow problems: A tutorial
Interfaces 20 (4), 133-149, 1990
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1990 347 91.8%
Distributed dynamic programming
IEEE transactions on Automatic Control 27 (3), 610-616, 1982
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1982 300 91.6%
Approximate policy iteration: A survey and some new methods
Journal of Control Theory and Applications 9, 310-335, 2011
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2011 308 91.5%
Dynamic programming and suboptimal control: A survey from ADP to MPC
European Journal of Control 11 (4-5), 310-334, 2005
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2005 377 91.4%
A new class of incremental gradient methods for least squares problems
SIAM Journal on Optimization 7 (4), 913-926, 1997
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1997 371 91.0%
Reinforcement learning for dynamic channel allocation in cellular telephone systems
Advances in neural information processing systems 9, 1996
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1996 352 91.0%
Lessons from AlphaZero for optimal, model predictive, and adaptive control
Athena Scientific, 2022
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2022 52 90.9%
Multiagent reinforcement learning: Rollout and policy iteration
IEEE/CAA Journal of Automatica Sinica 8 (2), 249-272, 2021
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2021 83 90.8%
Convergence of discretization procedures in dynamic programming
IEEE Transactions on Automatic Control 20 (3), 415-419, 1975
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1975 227 90.8%
Rollout algorithms for combinatorial optimization
Journal of Heuristics 3, 245-262, 1997
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1997 354 90.5%
A distributed algorithm for the assignment problem
Lab. for Information and Decision Systems Working Paper, MIT, 1979
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1979 256 90.1%
Relaxation methods for minimum cost ordinary and generalized network flow problems
Operations research 36 (1), 93-114, 1988
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1988 278 89.3%
Rollout, policy iteration, and distributed reinforcement learning
Athena Scientific, 2021
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2021 73 89.2%
Solution of large-scale optimal unit commitment problems
IEEE Transactions on Power Apparatus and Systems, 79-86, 1982
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1982 236 89.1%
Value and policy iterations in optimal control and adaptive dynamic programming
IEEE transactions on neural networks and learning systems 28 (3), 500-509, 2015
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2015 193 89.1%
The auction algorithm for the transportation problem
Annals of Operations Research 20 (1), 67-96, 1989
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1989 255 88.7%
Routing and wavelength assignment in optical networks
IEEE/ACM transactions on networking 11 (2), 259-272, 2003
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2003 330 88.7%
Second derivative algorithms for minimum delay distributed routing in networks
IEEE Transactions on Communications 32 (8), 911-919, 1984
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1984 224 88.4%
Adaptive aggregation methods for infinite horizon dynamic programming
Dept. of Electrical Engineering and Computer Science, Laboratory for …, 1988
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1988 256 88.4%
Convergence rate of incremental subgradient algorithms
Stochastic optimization: algorithms and applications, 223-264, 2001
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2001 314 88.2%
Parallel synchronous and asynchronous implementations of the auction algorithm
Parallel Computing 17 (6-7), 707-732, 1991
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1991 244 87.7%
On the convergence of the exponential multiplier method for convex programming
Mathematical programming 60 (1-3), 1-19, 1993
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1993 233 87.3%
Feature-based aggregation and deep reinforcement learning: A survey and some new implementations
IEEE/CAA Journal of Automatica Sinica 6 (1), 1-31, 2018
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2018 130 87.2%
On penalty and multiplier methods for constrained minimization
SIAM Journal on Control and Optimization 14 (2), 216-235, 1976
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1976 201 86.9%
Augmented lagrangian methods
Parallel and distributed computation: numerical methods. Prentice hall …, 1989
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1989 217 86.9%
Control of uncertain systems with a set-membership description of the uncertainty.
Massachusetts Institute of Technology, 1971
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1971 132 86.3%
Distributed asynchronous optimal routing in data networks
IEEE Transactions on Automatic Control 31 (4), 325-332, 1986
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1986 196 86.0%
Some aspects of parallel and distributed iterative algorithms—a survey
Automatica 27 (1), 3-21, 1991
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1991 212 85.9%
Optimal communication algorithms for hypercubes
Journal of Parallel and Distributed computing 11 (4), 263-275, 1991
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1991 211 85.9%
A neuro-dynamic programming approach to retailer inventory management
Proceedings of the 36th IEEE Conference on Decision and Control 4, 4052-4057, 1997
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1997 234 85.7%
Incremental least squares methods and the extended Kalman filter
SIAM Journal on Optimization 6 (3), 807-822, 1996
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1996 228 85.7%
Dynamic behavior of shortest path routing algorithms for communication networks
IEEE Transactions on Automatic Control 27 (1), 60-74, 1982
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1982 176 85.6%
A descent numerical method for optimization problems with nondifferentiable cost functionals
SIAM Journal on Control 11 (4), 637-652, 1973
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1973 149 85.5%
Learning algorithms for Markov decision processes with average cost
SIAM Journal on Control and Optimization 40 (3), 681-698, 2001
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2001 252 85.3%
Stochastic optimization problems with nondifferentiable cost functionals
Journal of Optimization Theory and Applications 12 (2), 218-231, 1973
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1973 147 85.3%
Least squares policy evaluation algorithms with linear function approximation
Discrete Event Dynamic Systems 13 (1-2), 79-110, 2003
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2003 249 85.1%
A simple and fast label correcting algorithm for shortest paths
Networks 23 (8), 703-709, 1993
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1993 196 85.1%
A new penalty function method for constrained minimization
Proceedings of the 1972 ieee conference on decision and control and 11th …, 1972
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1972 137 84.6%
Combined primal-dual and penalty methods for constrained minimization
SIAM Journal on Control 13 (3), 521-544, 1975
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1975 138 84.0%
Projected Newton methods and optimization of multicommodity flows
IEEE Transactions on Automatic Control 28 (12), 1090-1096, 1983
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1983 157 83.8%
Min common/max crossing duality: A geometric view of conjugacy in convex optimization. Lab. for Information and Decision Systems
MIT, Tech. Rep. Report LIDS-P-2796, 2009
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2009 179 83.4%
Linear network optimization
MIT Press, 1991
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1991 174 83.4%
Dynamic Programming: Determinist. and Stochast. Models
Prentice-Hall, 1987
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1987 156 82.9%
Nondifferentiable optimization via approximation
Nondifferentiable optimization, 1-25, 2009
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2009 174 82.9%
A forward/reverse auction algorithm for asymmetric assignment problems
Computational Optimization and Applications 1, 277-297, 1992
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1992 167 82.6%
Convexification procedures and decomposition methods for nonconvex optimization problems
Journal of Optimization Theory and Applications 29 (2), 169-197, 1979
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1979 139 82.5%
An auction algorithm for shortest paths
SIAM Journal on Optimization 1 (4), 425-447, 1991
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1991 156 81.9%
Distributed asynchronous incremental subgradient methods
Studies in Computational Mathematics 8 (C), 381-407, 2001
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2001 197 81.6%
Relaxation methods for network flow problems with convex arc costs
SIAM Journal on Control and Optimization 25 (5), 1219-1243, 1987
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1987 140 81.3%
Sufficiently informative functions and the minimax feedback control of uncertain dynamic systems
IEEE Transactions on Automatic Control 18 (2), 117-124, 1973
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1973 110 81.2%
Efficient dynamic programming implementations of Newton's method for unconstrained optimal control problems
Journal of Optimization Theory and Applications 63 (1), 23-38, 1989
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1989 143 80.7%
Dynamic control of session input rates in communication networks
IEEE Transactions on Automatic Control 29 (11), 1009-1016, 1984
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1984 121 80.0%
Temporal differences-based policy iteration and applications in neuro-dynamic programming
Lab. for Info. and Decision Systems Report LIDS-P-2349, MIT, Cambridge, MA 14, 1996
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1996 156 79.9%
RELAX-IV: A faster version of the RELAX code for solving minimum cost flow problems
Massachusetts Institute of Technology, Laboratory for Information and …, 1994
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1994 149 79.9%
Distributed asynchronous relaxation methods for convex network flow problems
SIAM Journal on Control and Optimization 25 (1), 74-85, 1987
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1987 129 79.9%
Combined primal–dual and penalty methods for convex programming
SIAM Journal on Control and Optimization 14 (2), 268-294, 1976
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1976 109 79.8%
Dual coordinate step methods for linear network flow problems
Mathematical Programming 42 (1-3), 203-243, 1988
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1988 137 79.3%
Necessary and sufficient conditions for existence of an optimal portfolio
Journal of Economic Theory 8 (2), 235-247, 1974
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1974 96 78.8%
Optimal scheduling of large hydrothermal power systems
IEEE Transactions on Power Apparatus and Systems, 286-294, 1985
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1985 122 78.8%
Convergence results for some temporal difference methods based on least squares
IEEE Transactions on Automatic Control 54 (7), 1515-1531, 2009
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2009 130 77.5%
The relax codes for linear minimum cost network flow problems
Annals of Operations Research 13 (1), 125-190, 1988
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1988 123 77.3%
Distributed dynamic programming
1981 20th IEEE Conference on Decision and Control including the Symposium on …, 1981
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1981 103 77.3%
Distributed asynchronous relaxation methods for linear network flow problems
IFAC Proceedings Volumes 20 (5), 103-114, 1987
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1987 107 76.6%
Optimization and Computation Series
Dynamic programming and optimal control 1, 2000
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2000 150 76.5%
Auction Algorithms.
Encyclopedia of optimization 1, 73-77, 2009
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2009 118 75.6%
Partially asynchronous, parallel algorithms for network flow and other problems
SIAM Journal on Control and Optimization 28 (3), 678-710, 1990
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1990 109 75.5%
Approximation procedures based on the method of multipliers
Journal of Optimization Theory and Applications 23 (4), 487-510, 1977
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1977 87 75.2%
R. Gallager Data Networks
Prentice Hall, E nglewood C liffs, New J ersey 1, 987, 1992
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1992 105 74.7%
Nondifferentiable optimization
(No Title), 1975
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1975 79 74.5%
Dynamic programming and optimal control. Belmont
MA: Athena Scientific, 2000
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2000 128 73.5%
Missile defense and interceptor allocation by neuro-dynamic programming
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2000
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2000 127 73.3%
Convergence rate and termination of asynchronous iterative algorithms
Proceedings of the 3rd International Conference on Supercomputing, 461-470, 1989
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1989 93 73.3%
Reverse auction and the solution of inequality constrained assignment problems
SIAM Journal on Optimization 3 (2), 268-297, 1993
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1993 95 73.0%
A distributed asynchronous relaxation algorithm for the assignment problem
1985 24th IEEE Conference on Decision and Control, 1703-1704, 1985
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1985 87 72.6%
Reinforcement learning for POMDP: Partitioned rollout and policy iteration with application to autonomous sequential repair problems
IEEE Robotics and Automation Letters 5 (3), 3967-3974, 2020
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2020 40 72.1%
Parallel asynchronous label-correcting methods for shortest paths
Journal of Optimization Theory and Applications 88 (2), 297-320, 1996
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1996 98 71.4%
Stochastic first-order methods with random constraint projection
SIAM Journal on Optimization 26 (1), 681-717, 2016
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2016 66 70.9%
A unified framework for primal-dual methods in minimum cost network flow problems
Mathematical Programming 32 (2), 125-145, 1985
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1985 77 70.3%
Rollout algorithms for discrete optimization: A survey
Handbook of combinatorial optimization 5, 2989-3013, 2013
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2013 78 70.2%
Comments on “Coordination of groups of mobile autonomous agents using nearest neighbor rules”
IEEE Transactions on Automatic Control 52 (5), 968-969, 2007
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2007 96 70.1%
Relaxation methods for problems with strictly convex separable costs and linear constraints
Mathematical Programming 38 (3), 303-321, 1987
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1987 75 69.7%
Incremental constraint projection methods for variational inequalities
Mathematical Programming 150, 321-363, 2015
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2015 68 69.5%
Pseudonormality and a Lagrange multiplier theory for constrained optimization
Journal of Optimization Theory and Applications 114, 287-343, 2002
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2002 101 69.3%
Multiagent rollout algorithms and reinforcement learning
arXiv preprint arXiv:1910.00120, 2019
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2019 42 68.7%
Improved temporal difference methods with linear function approximation
Learning and Approximate Dynamic Programming, 231-255, 2004
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2004 97 68.6%
The effect of deterministic noise in subgradient methods
Mathematical programming 125 (1), 75-99, 2010
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2010 84 68.4%
A counterexample to temporal differences learning
Neural computation 7 (2), 270-279, 1995
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1995 80 68.3%
Stochastic approximation for nonexpansive maps: Application to Q-learning algorithms
SIAM Journal on Control and Optimization 41 (1), 1-22, 2002
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2002 94 67.8%
An alternating direction method for linear programming
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1990
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1990 73 67.8%
Alternative theoretical frameworks for finite horizon discrete-time stochastic optimal control
SIAM Journal on control and optimization 16 (6), 953-978, 1978
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1978 58 67.4%
Nonlinear programming
SIAM Review 40 (3), 740-740, 1998
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1998 83 67.2%
Multiplier methods for convex programming
1973 IEEE Conference on Decision and Control including the 12th Symposium on …, 1973
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1973 50 66.7%
Universally measurable policies in dynamic programming
Mathematics of Operations Research 4 (1), 15-30, 1979
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1979 60 66.7%
A class of optimal routing algorithms for communication networks
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1980
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1980 58 66.5%
Distributed power control algorithms for wireless networks
IEEE Transactions on Vehicular Technology 50 (2), 504-514, 2001
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2001 85 65.9%
Stochastic shortest path games
SIAM Journal on Control and Optimization 37 (3), 804-824, 1999
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1999 78 65.2%
Projected equation methods for approximate solution of large linear systems
Journal of Computational and Applied Mathematics 227 (1), 27-50, 2009
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2009 73 64.9%
Multiagent value iteration algorithms in dynamic programming and reinforcement learning
Results in Control and Optimization 1, 100003, 2020
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2020 30 64.6%
Monotone mappings with application in dynamic programming
SIAM Journal on Control and Optimization 15 (3), 438-464, 1977
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1977 52 64.5%
Error bounds for approximations from projected linear equations
Mathematics of Operations Research 35 (2), 306-329, 2010
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2010 71 64.5%
Convergence rate of penalty and multiplier methods
1973 IEEE Conference on Decision and Control including the 12th Symposium on …, 1973
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1973 44 64.1%
Finite termination of asynchronous iterative algorithms
Parallel Computing 22 (1), 39-56, 1996
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1996 67 64.0%
Convergence of a gradient projection method
Laboratory for Information and Decision Systems, 1982
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1982 53 64.0%
Communication algorithms for isotropic tasks in hypercubes and wraparound meshes
Parallel Computing 18 (11), 1233-1257, 1992
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1992 61 63.7%
Partial proximal minimization algorithms for convex pprogramming
SIAM Journal on Optimization 4 (3), 551-572, 1994
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1994 64 63.6%
Parallel and distributed computation. Old Tappan
NJ (USA), 1989
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1989 57 63.6%
Implementation of efficient algorithms for globally optimal trajectories
IEEE Transactions on Automatic Control 43 (2), 278-283, 1998
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1998 69 63.5%
A generic auction algorithm for the minimum cost network flow problem
Computational Optimization and Applications 2, 229-259, 1993
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1993 57 62.6%
Robust shortest path planning and semicontractive dynamic programming
Naval Research Logistics (NRL) 66 (1), 15-37, 2019
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2019 33 62.3%
Partial conjugate gradient methods for a class of optimal control problems
IEEE Transactions on Automatic Control 19 (3), 209-217, 1974
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1974 40 62.2%
Dynamic programming and optimal control. 2nd
Athena Scientific, 2000
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2000 73 62.2%
Parallel asynchronous Hungarian methods for the assignment problem
ORSA Journal on Computing 5 (3), 261-274, 1993
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1993 56 62.2%
Distributed relaxation methods for linear network flow problems
1986 25th IEEE Conference on Decision and Control, 2101-2106, 1986
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1986 50 62.1%
Multiagent rollout and policy iteration for POMDP with application to multi-robot repair problems
Conference on Robot Learning, 1814-1828, 2021
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2021 20 62.0%
Arpanet routing algorithm improvements
Bolt Beranek and Newman Incorporated, 1978
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1978 45 62.0%
Incremental constraint projection-proximal methods for nonsmooth convex optimization
SIAM J. Optim.(to appear), 2013
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2013 55 61.6%
Q-learning and enhanced policy iteration in discounted dynamic programming
Mathematics of Operations Research 37 (1), 66-94, 2012
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2012 58 61.3%
Neuro-dynamic programming. 1996
Athena Scientific, 1996
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1996 58 61.2%
Dynamic programming and optimal control
Athena Scientific, 1995
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1995 56 61.0%
Temporal difference methods for general projected equations
IEEE Transactions on Automatic Control 56 (9), 2128-2139, 2011
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2011 59 60.8%
Estimates of the duality gap for large-scale separable nonconvex optimization problems
1982 21st IEEE conference on decision and control, 782-785, 1982
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1982 45 60.6%
Incremental aggregated proximal and augmented Lagrangian algorithms
arXiv preprint arXiv:1509.09257, 2015
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2015 48 60.5%
Discretized approximations for POMDP with average cost
arXiv preprint arXiv:1207.4154, 2012
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2012 56 60.3%
On the method of multipliers for convex programming
IEEE transactions on automatic control 20 (3), 385-388, 1975
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1975 38 60.2%
Dynamic programming and optimal control 4th edition, volume ii
Athena Scientific, 2015
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2015 47 60.0%
A new value iteration method for the average cost dynamic programming problem
SIAM journal on control and optimization 36 (2), 742-759, 1998
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1998 58 59.9%
Algorithms for nonlinear multicommodity network flow problems
International Symposium on Systems Optimization and Analysis, 1979
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1979 42 59.6%
Nonlinear programming. athena scientific belmont
Massachusets, USA, 1999
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1999 59 59.5%
Q-learning and policy iteration algorithms for stochastic shortest path problems
Annals of Operations Research 208 (1), 95-132, 2013
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2013 50 59.1%
Polynomial auction algorithms for shortest paths
Computational Optimization and Applications 4 (2), 99-125, 1995
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1995 51 58.8%
A unifying polyhedral approximation framework for convex optimization
SIAM Journal on Optimization 21 (1), 333-360, 2011
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2011 54 58.7%
Differential training of rollout policies
PROCEEDINGS OF THE ANNUAL ALLERTON CONFERENCE ON COMMUNICATION CONTROL AND …, 1997
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1997 55 58.5%
Athena scientific
Nonlinear programming 4, 1995
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1995 50 58.4%
Newton’s method for reinforcement learning and model predictive control
Results in Control and Optimization 7, 100121, 2022
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2022 11 58.4%
Optimal solution of integer multicommodity flow problems with application in optical networks
Frontiers in global optimization, 411-435, 2004
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2004 58 57.7%
Subgradient methods for convex minimization
Massachusetts Institute of Technology, 2002
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2002 56 57.3%
Dynamic Programming and Optimal Control, 2nd Edn, Vols. 1 and 2
Athena Scientific, Belmont, MA, 2001
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2001 54 56.7%
Basis function adaptation methods for cost approximation in MDP
2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2009
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2009 50 56.1%
Parallel computing in network optimization
Handbooks in Operations Research and Management Science 7, 331-399, 1995
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1995 44 55.7%
Dynamic programming and optimal control, ser
Optimization and Computation Series. Belmont, Massachusetts, USA: Athena …, 2000
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2000 52 55.6%
Enlarging the region of convergence of Newton's method for constrained optimization
Journal of optimization theory and applications 36 (2), 221-252, 1982
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1982 35 55.5%
On the minimax feedback control of uncertain dynamic systems
1971 IEEE conference on decision and control, 451-455, 1971
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1971 24 55.2%
Introduction to probability vol. 1
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2002 49 54.6%
Relaxation methods for problems with strictly convex costs and linear constraints
Mathematics of operations research 16 (3), 462-481, 1991
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1991 37 54.1%
Rollout algorithms for constrained dynamic programming
Lab. for Information and Decision Systems Report 2646, 2005
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2005 47 54.1%
Tsitsiklis, parallel and distributed computation
Prentice Hall, 1989
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1989 35 53.7%
An ϵ-relaxation method for separable convex cost network flow problems
SIAM Journal on Optimization 7 (3), 853-870, 1997
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1997 41 52.9%
Steepest descent for optimization problems with nondifferentiable cost functionals
Proc. 5th Annual Princeton Confer. Inform. Sci. Systems, Princeton, NJ, 347-351, 1971
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1971 21 52.7%
On near optimality of the set of finite-state controllers for average cost POMDP
Mathematics of Operations Research 33 (1), 1-11, 2008
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2008 43 52.2%
J.. N. Tsitsiklis
Neuro-dynamic Programming, 1996
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1996 36 51.6%
Q-learning algorithms for optimal stopping based on least squares
2007 European Control Conference (ECC), 2368-2375, 2007
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2007 42 51.6%
Multiagent reinforcement learning for autonomous routing and pickup problem with adaptation to variable demand
2023 IEEE International Conference on Robotics and Automation (ICRA), 3524-3531, 2023
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2023 5 51.6%
Extended monotropic programming and duality
Journal of optimization theory and applications 139 (2), 209-225, 2008
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2008 41 51.2%
Tsitsiklis
J. $ N $.: Neuro-Dynamic Programming, Athena Scientific, 1996
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1996 35 51.2%
Stochastic shortest path problems under weak conditions
Lab. for Information and Decision Systems Report LIDS-P-2909, MIT, 2013
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2013 36 50.8%
A new algorithm for solution of resistive networks involving diodes
IEEE transactions on circuits and systems 23 (10), 599-608, 1976
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1976 25 50.3%
Optimal routing and flow control methods for communication networks
Analysis and Optimization of Systems: Proceedings of the Fifth International …, 2006
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2006 39 50.2%
OPTIMAL SCHEDULING OF LARGE SCALE HYDROTHERMAL POWER SYSTEMS.
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1982 27 49.9%
An ε-relaxation method for separable convex cost generalized network flow problems
Mathematical Programming 88 (1), 85-104, 2000
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2000 38 49.6%
Validation of algorithms for optimal routing of flow in networks
1978 IEEE Conference on Decision and Control including the 17th Symposium on …, 1979
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1979 25 49.5%
Relaxation methods for linear programs
Mathematics of Operations Research 12 (4), 569-596, 1987
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1987 28 49.5%
Relaxation methods for minimum cost network flow problems
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1983
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1983 24 48.7%
Affine monotonic and risk-sensitive models in dynamic programming
IEEE Transactions on Automatic Control 64 (8), 3117-3128, 2019
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2019 20 48.3%
Dynamic models of shortest path routing algorithms for communication networks with multiple destinations
1979 18th IEEE Conference on Decision and Control including the Symposium on …, 1979
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1979 23 47.8%
Two-metric projection problems and descent methods for asymmetric variational inequality problems
Math. Program 53, 99-110, 1984
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1984 23 47.7%
The relation between pseudonormality and quasiregularity in constrained optimization
Optimization Methods and Software 19 (5), 493-506, 2004
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2004 35 47.7%
Asymptotic optimality of shortest path routing algorithms
IEEE transactions on information theory 33 (1), 83-90, 1987
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1987 25 47.4%
On boundedness of Q-learning iterates for stochastic shortest path problems
Mathematics of Operations Research 38 (2), 209-227, 2013
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2013 31 47.2%
An auction algorithm for the max-flow problem
Journal of Optimization Theory and Applications 87, 69-101, 1995
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1995 28 47.1%
Minimax methods based on approximations
Proceedings 1976 John Hopkins Conf. Inform. Sciences and Systems, 1976
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1976 21 47.1%
Notes on Nonlinear Programming and Discrete--time Optimal Control
Laboratory for Information and Decision Systems, Department of Electrical …, 1979
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1979 22 46.8%
Relaxation methods for monotropic programs
Mathematical Programming 46 (1-3), 127-151, 1990
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1990 24 45.9%
Lambda‐Policy Iteration: A Review and a New Implementation
Reinforcement learning and approximate dynamic programming for feedback …, 2012
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2012 30 45.5%
Performance of hypercube routing schemes with or without buffering
IEEE/ACM Transactions on Networking 2 (3), 299-311, 1994
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1994 26 45.5%
Parallel shortest path auction algorithms
Parallel Computing 20 (9), 1221-1247, 1994
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1994 26 45.5%
Implementation of an optimal multicommodity network flow algorithm based on gradient projection and a path flow formulation
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1984
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1984 20 44.8%
Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach
arXiv preprint arXiv:2211.10298, 2022
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2022 7 44.6%
Separable dynamic programming and approximate decomposition methods
IEEE Transactions on automatic control 52 (5), 911-916, 2007
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2007 29 44.2%
Parallel primal-dual methods for the minimum cost flow problem
Computational Optimization and Applications 2, 317-336, 1993
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1993 22 44.0%
Parallel and Distributed Computation-Numerical Methods. 1989
Englewood Clifffs, New Jersey: Printice-Hall, 1997
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1997 25 43.8%
Convergence theories of distributed iterative processes: A survey
Stochastic Programming, 107-139, 2005
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2005 27 43.4%
Nonlinear programming, athena scientific, 1999
REFER ˆENCIAS BIBLIOGR AFICAS 89, 2006
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2006 27 43.2%
Linear convex stochastic control problems over an infinite horizon
IEEE Transactions on Automatic Control 18 (3), 314-315, 1973
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1973 16 43.2%
Multinode broadcast in hypercubes and rings with randomly distributed length of packets
IEEE Transactions on Parallel and Distributed systems 4 (2), 144-154, 1993
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1993 21 43.1%
Set intersection theorems and existence of optimal solutions
Mathematical programming 110, 287-314, 2007
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2007 27 42.8%
Distributed asynchronous policy iteration in dynamic programming
2010 48th Annual Allerton Conference on Communication, Control, and …, 2010
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2010 26 42.4%
Incremental subgradient methods for nondifferentiable optimization
Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No …, 1999
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1999 24 42.3%
Dynamic broadcasting in parallel computing
IEEE transactions on parallel and distributed systems 6 (2), 120-131, 1995
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1995 21 42.2%
Convexity, duality, and lagrange multipliers
Lecture Notes, MIT Press, Cambridge, Mass, USA, 2001
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2001 24 42.0%
Admission control for wireless networks
IEEE Trans. Veh. Technol 50, 504-514, 2001
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2001 24 42.0%
Stable optimal control and semicontractive dynamic programming
SIAM Journal on Control and Optimization 56 (1), 231-252, 2018
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2018 18 41.6%
VARIABLE METRIC METHODS FOR CONSTRAINED OPTIMIZATION USING DIFFERENTIABLE EXACT PENALTY FUNCTIONS.
Proc Annu Allerton Conf Commun Control Comput 18th, 1981
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1981 16 40.8%
Augmented Lagrangian and differentiable exact penalty methods
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1981
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1981 16 40.8%
Enhanced optimality conditions and exact penalty functions
Proceedings of Allerton conference, 2000
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2000 23 40.8%
Neuro-dynamic Programming, ser
Optimization and Neural Computation Series. Belmont, Massachusetts: Athena …, 1996
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1996 19 40.2%
Expertrna: A new framework for RNA secondary structure prediction
INFORMS Journal on Computing 34 (5), 2464-2484, 2022
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2022 6 39.9%
relaxt-III: A new and improved version of the relax code
Massachusetts Institute of Technology, Laboratory for Information and …, 1990
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1990 17 39.9%
A mixed value and policy iteration method for stochastic control with universally measurable policies
Mathematics of Operations Research 40 (4), 926-968, 2015
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2015 21 39.7%
Penalty and multiplier methods
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1980 14 39.7%
Parallel and Distributed Computation: Numerical Methods, Prentice Hall
New Jersey: Englewood Cliffs, 1989
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1989 17 39.5%
Multiplier methods: A survey
IFAC Proceedings Volumes 8 (1), 351-363, 1975
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1975 13 39.4%
Introduction to probability, ser
Athena Scientific optimization and computation series. Athena Scientific, 2008
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2008 22 39.3%
Enhanced Fritz John conditions for convex programming
SIAM Journal on Optimization 16 (3), 766-797, 2006
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2006 21 38.9%
Weighted sup-norm contractions in dynamic programming: A review and some new applications
Dept. Elect. Eng. Comput. Sci., Massachusetts Inst. Technol., Cambridge, MA …, 2012
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2012 22 38.8%
Adaptive multi-platform scheduling in a risky environment
Advances in Enterprise Control Symp. Proc, 121-128, 1999
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1999 19 38.4%
A least squares Q-learning algorithm for optimal stopping problems
Lab. for Information and Decision Systems Report 2731, 2006
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2006 20 38.1%
Existence of optimal stationary policies in deterministic optimal control
Journal of Mathematical Analysis and Applications 69 (2), 607-620, 1979
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1979 14 37.8%
An auction/sequential shortest path algorithm for the minimum cost network flow problem
Massachusetts Institute of Technology, Laboratory for Information and …, 1992
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1992 16 37.7%
Partial multinode broadcast and partial exchange algorithms for d-dimensional meshes
Journal of Parallel and Distributed Computing 23 (2), 177-189, 1994
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1994 16 36.8%
Computer science and applied mathematics
Constrained Optimization and Lagrange Multiplier Methods 1, 1982
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1982 13 36.6%
Data Communications
Prentice Hall, 1992
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1992 15 36.4%
Dynamic programming and optimal control, i and ii, athena scientific, belmont, massachusetts
New York-San Francisco-London, 1995
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1995 15 36.0%
Dynamic programming in Borel spaces
Dynamic programming and its applications, 115-130, 1978
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1978 11 36.0%
Stabilization of stochastic iterative methods for singular and nearly singular linear systems
Mathematics of Operations Research 39 (1), 1-30, 2014
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2014 18 35.9%
ɛ-Relaxation and Auction Methods for Separable Convex Cost Network Flow Problems
Network Optimization, 103-126, 1997
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1997 15 35.3%
Distributed asynchronous policy iteration for sequential zero-sum games and minimax control
arXiv preprint arXiv:2107.10406, 2021
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2021 8 35.1%
A Course in Reinforcement Learning
Athena Scientific, 2023
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2023 3 35.0%
Nonlinear Programming, Athena Scientific, Belmont, MA, 1999
MR2182753 (2006h: 49001), 2008
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2008 17 35.0%
A survey of some aspects of parallel and distributed iterative algorithms
Massachusetts Institute of Technology, Laboratory for Information and …, 1989
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1989 13 34.6%
Path assignment for virtual circuit routing
Proceedings of the symposium on Communications Architectures & Protocols, 21-25, 1983
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1983 11 34.6%
On the convergence properties of second-order multiplier methods
Journal of Optimization Theory and Applications 25 (3), 443-449, 1978
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1978 10 34.6%
John N. Tsitsiklis
Introduction to Probability, 2002
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2002 15 34.1%
Weighted Bellman equations and their applications in approximate dynamic programming
Lab. for Information and Decision Systems Report LIDS-P-2876, MIT, 2012
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2012 17 34.1%
Routing in data networks
Data Networks, 401-403, 1992
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1992 13 34.0%
Regular policies in abstract dynamic programming
SIAM Journal on Optimization 27 (3), 1694-1727, 2017
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2017 14 34.0%
RG G allager
Data Networks. Prantice Hall, 1987
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1987 11 33.4%
Parallel and distributed computation: numerical methods
New Jersey: PrentiieeHall, Ine, 1989
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1989 12 33.1%
Min common/max crossing duality: A simple geometric framework for convex optimization and minimax theory
Rep. LIDS-P-2536, 2002
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2002 14 33.1%
Optimal and Neuro—Dynamic Programming Solutions for a Stochastic Inventory Transportation Problem
Models, Methods and Decision Support for Management: Essays in Honor of Paul …, 2001
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2001 13 32.7%
Rollout algorithms: An overview
Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No …, 1999
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1999 13 32.5%
Approximate simulation-based solution of large-scale least squares problems
Lab. for Information and Decision Systems Report LIDS-P-2819, MIT, 2009
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2009 14 32.2%
Some issues in distributed asynchronous routing in virtual circuit data networks
1986 25th IEEE Conference on Decision and Control, 1335-1337, 1986
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1986 10 32.1%
Constrained multiagent rollout and multidimensional assignment with the auction algorithm
arXiv preprint arXiv:2002.07407, 2020
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2020 9 32.0%
On error bounds for successive approximation methods
IEEE Transactions on Automatic Control 21 (3), 394-396, 1976
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1976 9 32.0%
Biased aggregation, rollout, and enhanced policy improvement for reinforcement learning
arXiv preprint arXiv:1910.02426, 2019
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2019 10 31.6%
Traffic behavior and queuing in a QoS environment
OPNETWORK 2005, Session 1813, 2005
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2005 13 31.6%
Multiaccess communication
Data networks, 1992
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1992 11 31.2%
Nonlinear programming, 3rd
Athena Scientific, 2016
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2016 13 31.1%
Projected Newton methods for optimization problems with simple constraints
1981 20th IEEE Conference on Decision and Control including the Symposium on …, 1981
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1981 9 31.0%
Stochastic optimization problems with nondifferentiable cost functionals with an application in stochastic programming
Proceedings of the 1972 IEEE Conference on Decision and Control and 11th …, 1972
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1972 8 30.8%
Proper policies in infinite-state stochastic shortest path problems
IEEE Transactions on Automatic Control 63 (11), 3787-3792, 2018
View Details
2018 11 30.6%
Local convex conjugacy and Fenchel duality
IFAC Proceedings Volumes 11 (1), 1079-1084, 1978
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1978 8 30.4%
Projected equations, variational inequalities, and temporal difference methods
Lab. for Information and Decision Systems Report LIDS-P-2808, MIT, 2009
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2009 12 29.9%
c, and AE Ozdaglar
Convex Analysis and Optimization, 2003
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2003 11 29.9%
Introduction to Probability: Athena Scientific
Belmont Massachusetts: Massachusetts Institute of Technology, 2002
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2002 11 29.6%
On the solution of some minimax problems
Proceedings of the 1972 IEEE Conference on Decision and Control and 11th …, 1972
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1972 7 28.6%
Note on the design of linear systems with piecewise constant feedback gains
IEEE Transactions on Automatic Control 15 (2), 262-263, 1970
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1970 6 28.5%
Monotone mappings in dynamic programming
1975 IEEE Conference on Decision and Control including the 14th Symposium on …, 1975
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1975 7 28.0%
Data-driven rollout for deterministic optimal control
2021 60th IEEE Conference on Decision and Control (CDC), 2169-2176, 2021
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2021 6 27.9%
On-line policy iteration for infinite horizon dynamic programming
arXiv preprint arXiv:2106.00746, 2021
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2021 6 27.9%
Computation of production control policies by a dynamic programming technique
Analysis and Optimization of Systems: Proceedings of the Fifth International …, 2006
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2006 10 27.7%
Routing and wavelength assignment in optical networks
US Patent 7,716,271, 2010
View Details
2010 11 27.7%
Corrections for the book nonlinear programming
Belmont, MA, USA: Athena Scientific, 1999
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1999 9 26.7%
A note on error bounds for convex and nonconvex programs
Computational Optimization: A Tribute to Olvi Mangasarian Volume I, 41-51, 1999
View Details
1999 9 26.7%
Parallel asynchronous primal-dual methods for the minimum cost flow problem
Massachusetts Institute of Technology, Laboratory for Information and …, 1990
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1990 8 26.7%
Second derivative algorithms for minimum delay distributed routing in networks
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1981
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1981 7 26.5%
Dynamic programming and optimal control, ch. 1
Belmont, MA 148, 1995
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1995 8 26.0%
Solution of large systems of equations using approximate dynamic programming methods
Lab. for Information and Decision Systems Report LIDS-P-2754, MIT, 2007
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2007 9 25.4%
with A. Nedic and A. Ozdaglar
Convex analysis and optimization, 2003
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2003 8 25.3%
Introduction to Probability: International Edition
Athena Scientific, Belmont, Massachusetts, 2002
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2002 8 25.0%
Proximal algorithms and temporal difference methods for solving fixed point problems
Computational Optimization and Applications 70 (3), 709-736, 2018
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2018 8 24.9%
Pathologies of temporal difference methods in approximate dynamic programming
49th IEEE Conference on Decision and Control (CDC), 3034-3039, 2010
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2010 9 24.8%
Bertsekas
Dynamic programming and optimal control 1, 2, 1976
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1976 6 24.5%
Newton's method for linear optimal control problems
IFAC Proceedings Volumes 9 (3), 353-359, 1976
View Details
1976 6 24.5%
Thevenin decomposition and large-scale optimization
Journal of optimization theory and applications 89 (1), 1-15, 1996
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1996 7 24.3%
A conflict sense routing protocol and its performance for hypercubes
IEEE transactions on computers 45 (6), 693-703, 1996
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1996 7 24.3%
Approximate solution of large-scale linear inverse problems with Monte Carlo simulation
Lab. for Information and Decision Systems Report, MIT, 2009
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2009 8 24.2%
A quasi Monte Carlo method for large-scale inverse problems
Monte Carlo and Quasi-Monte Carlo Methods 2010, 623-637, 2012
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2012 9 24.2%
Introduction to probability. 2002
Athena Scientific, 1995
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1995 7 23.9%
Nonlinear Programming, ser. optimization and computation
Belmont, Massachusetts: Athena Scientific, 1995
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1995 7 23.9%
Volume II, Dynamic programming and optimal control
Belmont (MA): Athena Scientific, 2007
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2007 8 23.7%
Notes on optimal routing and flow control for communication networks
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1981
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1981 6 23.7%
Projection methods for minimum cost network flow problems
Mathematical Programming Study 17, 1-22, 1981
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1981 6 23.7%
Optimal short-term scheduling of large-scale power systems
1981 20th IEEE Conference on Decision and Control including the Symposium on …, 1981
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1981 6 23.7%
Neuro-dynamic programming, Encyclopedia of Optimization
vol 27, 1687-1692, 2001
View Details
2001 7 23.6%
Gradient convergence in gradient methods
Massachusetts Institute of Technology, Laboratory for Information and …, 1997
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1997 7 23.4%
with Nedic, A
Ozdaglar, AE: Convex Analysis and Optimization. Athena Scientific, Belmont, 2003
View Details
2003 7 23.4%
Adaptive aggregation methods for discounted dynamic programming
1986 25th IEEE Conference on Decision and Control, 1840-1845, 1986
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1986 6 23.1%
Chapter 1-introduction
Constrained optimization and Lagrange multiplier methods, 1-94, 1982
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1982 6 23.0%
Nonlinear Programming, Athena Scientific, Belmont, MA, 1999.[7] EG Birgin, JM Martnez, and M. Raydan, Nonmonotone spectral projected gradient methods on convex sets
SIAM J. Optim 10, 11961211, 2000
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2000 7 22.9%
Auction-Based Learning for Question Answering over Knowledge Graphs
Information 14 (6), 336, 2023
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2023 2 21.8%
Neuro-Dynamic Programming (Athena Scientific, Nashua, NH)
Google Scholar Google Scholar Digital Library Digital Library, 1996
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1996 6 21.7%
Parallel and distributed iterative algorithms: a selective survey
Massachusetts Institute of Technology, Laboratory for Information and …, 1988
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1988 6 21.6%
Flow control
Data Networks, 493-535, 1992
View Details
1992 6 21.3%
Generic rank-one corrections for value iteration in Markovian decision problems
Operations research letters 17 (3), 111-119, 1995
View Details
1995 6 21.3%
Play selection in American football: A case study in neuro-dynamic programming
Advances in Computational and Stochastic Optimization, Logic Programming …, 1998
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1998 6 21.2%
Enlarging the region of convergence of Newton's method for constrained optimization
View Details
1980 5 21.1%
The bivariate normal distribution
Introduction to probability, 1st edition, Athena Scientific, 247-253, 2002
View Details
2002 6 21.0%
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation
arXiv preprint arXiv:2212.07998, 2022
View Details
2022 3 21.0%
Convex Optimization Algorithms Athena Scientific
Belmot, Massachusetts 693, 1999
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1999 6 20.9%
Nonlinear Programming (Athena Scientific, Nashua, NH)
View Details
1999 6 20.9%
On the convergence of simulation-based iterative methods for solving singular linear systems
Stochastic Systems 3 (1), 38-95, 2013
View Details
2013 7 20.8%
Convex optimization theory athena scientific, 2009
Cited on, 9, 2014
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2014 7 20.6%
Convex optimization theory
Belmont: Athena Scientific, 2009
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2009 6 20.3%
Markov chains
Introduction to Probability, 339-405, 2008
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2008 6 20.0%
Dynamic Programming and Optimal Control: Vol I. Nashua
NH, USA: Athena Scientific, 2007
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2007 6 19.8%
Reservation-based session routing for broadband communication networks with strict QoS requirements
Proceedings 15th International Conference on Information Networking, 593-600, 2001
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2001 5 18.6%
Mathematical Equivalence of the Auction Algorithm for Assignment and the∊-Relaxation (Preflow-Push) Method for Min Cost Flow
Large Scale Optimization: State of the Art, 26-44, 1992
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1992 5 18.5%
Ten simple rules for mathematical writing
Massachusetts Inst. Technol, 2002
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2002 5 18.4%
Transposition of banded matrices in hypercubes: A nearly isotropic task
Parallel computing 21 (2), 243-264, 1995
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1995 5 18.3%
Dynamic Controlling and Optimal Control
Athena Scientific 2, 1995
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1995 5 18.3%
Learning and Approximate Dynamic Programming
IEEE Press, 2004
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2004 5 18.2%
Preconditioned conjugate gradient methods for optimal control problems with delays with application in hydroelectric power systems scheduling
The 22nd IEEE Conference on Decision and Control, 1434-1442, 1983
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1983 4 17.0%
Proximal algorithms and temporal differences for large linear systems: extrapolation, approximation, and simulation
arXiv preprint arXiv:1610.05427, 2016
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2016 5 16.4%
Relaxation methods for problems with strictly convex costs and linear inequality constraints
Massachusetts Institute of Technology, Laboratory for Information and …, 1987
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1987 4 16.1%
Dynamic programming and suboptimal control: From ADP to MPC
Proceedings of the 44th IEEE Conference on Decision and Control, 10-10, 2005
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2005 4 15.7%
Nonhnear Programming
Belmont, MA: Athena Scientific, 1995
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1995 4 15.3%
Nonlinear Programming Athena
Cambridge, Ma, 1999
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1999 4 15.3%
データネットワーク
オーム社, 1990
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1990 4 15.2%
New value iteration and Q-learning methods for the average cost dynamic programming problem
Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No …, 1998
View Details
1998 4 15.2%
Dynamic programming methods for adaptive multi-platform scheduling in a risky environment
Advances in Enterprise Control Proceedings, Symposium Sponsored by JFACC …, 2000
View Details
2000 4 15.1%
Reinforcement Learning and Optimal Control
Athena scientific, 2018
View Details
2018 4 14.8%
Convergence of iterative simulation-based methods for singular linear systems
Lab. for Information and Decision Systems Report LIDS-P-2879, MIT, 2011
View Details
2011 4 14.5%
Incremental gradient, subgradient, and proximal methods for convex optimization
Optimization for Machine Learning, Neural Information Processing Series, 85-119, 2012
View Details
2012 4 14.1%
Equivalent stochastic and deterministic optimal control problems
1976 IEEE Conference on Decision and Control including the 15th Symposium on …, 1976
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1976 3 13.9%
Centralized and distributed Newton methods for network optimization and extensions
arXiv preprint arXiv:1507.00702, 2015
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2015 4 13.9%
Stochastic optimal control: the discrete time case: the discrete time case
Elsevier, 1978
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1978 3 13.6%
Recursive state estimation for a set membership representation of uncertainty
IEEE Transactions on Automatic Control 16 (2), 1971
View Details
1971 3 12.8%
Convergence of the feasible region in infinite horizon optimization problems
Joint Automatic Control Conference, 287-293, 1972
View Details
1972 3 12.3%
Distributed computation of fixed points
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1981
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1981 3 12.2%
New Auction Algorithms for Path Planning, Network Transport, and Reinforcement Learning
arXiv preprint arXiv:2207.09588, 2022
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2022 2 12.1%
Neuro-dynamic programming. Optimization and neural computation series, 3. Athena Scientific
View Details
1996 3 11.9%
An ε-Relaxation method for generalized separable convex cost network flow problems
Integer Programming and Combinatorial Optimization: 5th International IPCO …, 1996
View Details
1996 3 11.9%
Parallel Shortest Paths Methods for Globally Optimal Trajectories
Advances in Parallel Computing 10, 303-315, 1995
View Details
1995 3 11.8%
Neuro-dynamic programming: An overview and recent results
Operations Research Proceedings 2006: Selected Papers of the Annual …, 2007
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2007 3 11.4%
6.253 Convex Analysis and Optimization, Spring 2010
View Details
2010 3 11.3%
A general method for approximation based on the method of multipliers
Proc. of Thirteenth Annual Allerton Conf. on Circuit and System Theory, 1975
View Details
1975 2 8.3%
Nondifferentiable Optimization
North-Holland Publishing Company, 1975
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1975 2 8.3%
Globally convergent Newton methods for constrained optimization using differentiable exact penalty functions
1980 19th IEEE Conference on Decision and Control including the Symposium on …, 1980
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1980 2 8.0%
Mathematical issues in dynamic programming
unpublished paper, 1978
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1978 2 7.5%
NEW THEORETICAL FRAMEWORK FOR FINITE HORIZON STOCHASTIC CONTROL.
Proc Annu Allerton Conf Circuit Syst Theory 14th, 1976
View Details
1976 2 7.5%
Distributed Reinforcement Learning, Rollout, and Approximate Policy Iteration
Athena Scientific, 2020
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2020 2 7.3%
Neuro-dynamic Optimal Control of a L-lysine Fed-batch Fermentation
Biotechnology & Biotechnological Equipment 20 (3), 204-207, 2006
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2006 2 6.9%
Introduction to probability: Athena Scientific Nashua
NH, 2002
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2002 2 6.9%
An Efficient Discriminative Training Method for Generative Models
6th International Workshop on Mining and Learning with Graphs, 2008
View Details
2008 2 6.9%
Neuro-dynamic Programming, Athena Sientific
Atena Scientific, Cambridge, Mass, 1996
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1996 2 6.9%
Stochastičeskoje optimal'noje upravlenije: Slučaj diskretnogo vremeni
Nauka, 1985
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1985 2 6.8%
Modified auction algorithms for shortest paths
Massachusetts Institute of Technology, Laboratory for Information and …, 1992
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1992 2 6.7%
Williams-Baird counterexample for Q-factor asynchronous policy iteration
online at http://web. mit. edu/dimitrib/www/Williams-Baird-Counterexample. pdf, 2010
View Details
2010 2 6.6%
Intelligent optimal control
Massachusetts Institute of Technology, Laboratory for Information and …, 1995
View Details
1995 2 6.6%
Efficient algorithms for continuous-space shortest path problems
Massachusetts Institute of Technology, Laboratory for Information and …, 1995
View Details
1995 2 6.6%
Parallel and Dzst~ buted Algorithms
Prentice-Hall, Englewood Cliffs, NJ, 1988
View Details
1988 2 6.4%
Infinite-space shortest path problems and semicontractive dynamic programming
Massachusetts Institute of Technology, Cambridge, MA, USA, Technical Report …, 2014
View Details
2014 2 6.3%
Parallel and Distributed
Numerical Methods, Parentice-Hall, Englewood Cliffs, NJ, 1989
View Details
1989 2 6.2%
Convergence Analysis of Distributed Asynchronous Iterative Processes
IFAC Proceedings Volumes 17 (2), 1145-1146, 1984
View Details
1984 1 0.0%
Seti peredači dannych
Mir, 1989
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1989 1 0.0%
Convex Analysis and Optimization Chapter 1 Solutions
Athena Scientific, 2008
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2008 1 0.0%
Class notes for ASU course CSE 691; Spring 2022 topics in reinforcement learning
View Details
2022 1 0.0%
A hybrid incremental gradient method for least squares problems
Massachusetts Institute of Technology, Laboratory for Information and …, 1994
View Details
1994 1 0.0%
A value iteration method for the average cost dynamic programming problem
Massachusetts Institute of Technology, Laboratory for Information and …, 1995
View Details
1995 1 0.0%
Separable convex cost network flow
Network Optim 450, 103, 2012
View Details
2012 1 0.0%
Implementation of an optimal multicommodity network flow algorithm based on gradient projection and a path flow formulation
Laboratory for Information and Decision Systems, Massachusetts Institute of …, 1984
View Details
1984 1 0.0%
Communication issues in parallel and distributed optimization algorithms
Proceedings of the 27th IEEE Conference on Decision and Control, 1448 vol. 2, 1988
View Details
1988 1 0.0%
Lagrange multipliers with optimal sensitivity properties in constrained optimization
Large-Scale Nonlinear Optimization, 15-23, 2006
View Details
2006 1 0.0%
The Auction Algorithm for Assignment
New Trends in Systems Theory: Proceedings of the Università di Genova-The …, 2013
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2013 1 0.0%
Reinforcement Learning and Optimal Control and Rollout, Policy Iteration, and Distributed Reinforcement Learning
View Details
2021 1 0.0%
MODEL FOR THE OPTIMAL SYNTHESIS AND ANALYSIS OF MAINTENANCE FACILITIES.
AUTOTESTCON (Proceedings), 449-456, 1983
View Details
1983 1 0.0%
Play selection in football: a case study in neuro-dynamic programming
Massachusetts Institute of Technology, Laboratory for Information and …, 1996
View Details
1996 1 0.0%
Finite-state Average Cost Stochastic Games with Compact Constraint Sets and a Recurrence Condition
SIAM Journal on Control and Optimization, 1998
View Details
1998 1 0.0%
Lecture Slides on Nonlinear Programming
MIT Lecture, 2005
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2005 1 0.0%
Q-Learning and Enhanced Policy Iteration in Discounted Dynamic Programming (Revised)
View Details
2010 1 0.0%
DISTRIBUTED DETERMINISTIC AND STOCHASTIC OPTIMIZATION ALGORITHMS WITH APPLICATIONS IN SYSTEM IDENTIFICATION.
View Details
1983 1 0.0%
A Unified Framework for Primal Dual Methods
Math. Programming 32, 125-145, 1985
View Details
1985 1 0.0%
A conflict sense routing protocol and its performance for hypercubes
Massachusetts Institute of Technology, Laboratory for Information and …, 1992
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1992 1 0.0%