强化学习与最优控制

Reinforcement Learning and Optimal Control

Dimitri Bertsekas · 初版 2019 年

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Hacker News 上怎么说

  • 有意思,我之前还不了解控制论(cybernetics)。给感兴趣的人推荐一本书,里面把这两者都探讨了:Dimitri P. Bertsekas 写的《Reinforcement Learning and Optimal Control》。它涵盖了精确与近似动态规划(Dynamic Programming)、有限与无限时域问题、确定性与随机模型、基于模型和免模型的优化。除了…

    Interesting, I didn't know about cybernetics. For the ones interested there is a book that discusses both: 'Reinforcement Learning and Optimal Control', by Dimitri P. Bertsekas. It covers exact and approximate Dynamic Programming, finite and infinite horizon problems, deterministic and stochastic models, model-based and model-free optimization. Aside…

  • …Guha 34. Elements of Information Theory - Thomas M. Cover & Joy A. Thomas 35. The Bayesian Choice - Christian P. Robert 35. Machine Learning for Commonsense Reasoning Processes - Xenia Naidenova 36. Reinforcement Learning and Optimal Control - Dimitri P. Bertsekas 37. An Introduction to Kolmogorov Complexity and Its Applications - Ming Li & Paul Vitanyi 38. The Mechanical Mind: A Philosophical Introduction to Minds, Machines, and Mental…

    …Guha 34. Elements of Information Theory - Thomas M. Cover & Joy A. Thomas 35. The Bayesian Choice - Christian P. Robert 35. Machine Learning for Commonsense Reasoning Processes - Xenia Naidenova 36. Reinforcement Learning and Optimal Control - Dimitri P. Bertsekas 37. An Introduction to Kolmogorov Complexity and Its Applications - Ming Li & Paul Vitanyi 38. The Mechanical Mind: A Philosophical Introduction to Minds, Machines, and Mental…

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