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Athena Scientific is a small publisher specializing in textbooks written by professors at the Massachusetts Institute of Technology and used in their courses. |
Catalog Ordering Instructor Resources |
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Athena Scientific is a small publisher specializing in textbooks written by professors at the Massachusetts Institute of Technology and used in their courses. |
Catalog Ordering Instructor Resources |
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Rollout, Policy Iteration, and Distributed Reinforcement Learning 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 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 DP 3rd Edition NEW! 2022 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 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 by D. P. Bertsekas |
 | Neuro-Dynamic Programming by D. P. Bertsekas and J. N. Tsitsiklis |
 | Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control NEW! 2022 by D. P. Bertsekas |
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Convex Optimization Algorithms by D. P. Bertsekas |
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Stochastic Optimal Control: The Discrete-Time Case by D. P. Bertsekas and S. E. Shreve |
 | A Course in Reinforcement Learning NEW! 2023 by D. P. Bertsekas |
Click on any individual book icon for information on that book, or click here for a complete list.
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Reinforcement Learning and Optimal Control by D. P. Bertsekas |
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Convex Analysis and Optimization by D. P. Bertsekas with A. Nedic and A. E. Ozdaglar |
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Constrained Optimization and Lagrange Multiplier Methods 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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Stochastic Optimal Control: The Discrete-Time Case by D. P. Bertsekas and S. E. Shreve |
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Network Optimization: Continuous and Discrete Models by D. P. Bertsekas |
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Convex Optimization Algorithms by D. P. Bertsekas |
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Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control by D. P. Bertsekas | ||
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Rollout, Policy Iteration, and Distributed Reinforcement Learning by D. P. Bertsekas |
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Dynamic Programming and Optimal Control, Volume I by D. P. Bertsekas |
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Dynamic Programming and Optimal Control, Volume II by D. P. Bertsekas | ||
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Convex Optimization Theory by D. P. Bertsekas |
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Nonlinear Programming, 3rd Edition by D. P. Bertsekas |
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Data Networks, by D. P. Bertsekas and R. G. Gallager | ||
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Neuro-Dynamic Programming by D. P. Bertsekas and J. N. Tsitsiklis |
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Introduction to Probability by D. P. Bertsekas and J. N. Tsitsiklis |
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Abstract DP 3rd Edition by D. P. Bertsekas |
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A Course in Reinforcement Learning by D. P. Bertsekas |