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Rollout, Policy Iteration, and Distributed Reinforcement Learning
NEW! 2020
by D. P. Bertsekas |
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Introduction to Probability
by D. P. Bertsekas and J. N. Tsitsiklis |
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Convex Optimization Theory
by D. P. Bertsekas |
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Reinforcement Learning and Optimal Control
NEW! 2019
by D. P. Bertsekas |
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Introduction to Linear Optimization
by D. Bertsimas and J. N. Tsitsiklis |
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Convex Analysis and Optimization
by D. P. Bertsekas
with A. Nedic and A. E. Ozdaglar |
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Abstract Dynamic Programming
NEW! 2nd Edition, 2018
by D. P. Bertsekas |
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Network Optimization: Continuous and Discrete Models by D. P. Bertsekas
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Constrained Optimization and Lagrange Multiplier Methods by D. P. Bertsekas |
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Dynamic Programming and Optimal Control
NEW! Vol. 1, 4th Edition, 2017
by D. P. Bertsekas |
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Parallel and Distributed Computation: Numerical Methods
by D. P. Bertsekas and J. N. Tsitsiklis |
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Network Flows and Monotropic Optimization by R. T. Rockafellar |
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Nonlinear Programming
NEW! 3rd Edition, 2016
by D. P. Bertsekas |
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| Neuro-Dynamic Programming
by D. P. Bertsekas and J. N. Tsitsiklis |
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Convex Optimization Algorithms
NEW! 2015
by D. P. Bertsekas |
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Stochastic Optimal Control: The Discrete-Time Case by D. P. Bertsekas and
S. Shreve
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