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

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Software

Software related to our publications. This software is copyright-protected, but may be freely downloaded and used for nonprofit research or instructional purposes.

• Misc network optimization codes by Dimitri P. Bertsekas
• RELAX4 code by Dimitri P. Bertsekas and Paul Tseng, and RELAX4 documentation for linear single commodity network optimization.
• C++ Implementation of RELAX4 code from the University of Pisa
• AUCTION and other algorithms, for linear cost assignment, shortest path, and other network flow problems.
• Newton's method for unconstrained optimization problems by Dimitri P. Bertsekas.

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