Reinforcement Learning - An Introduction

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Appendix

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  • 链接

    Rich Sutton的强化学习,有能力者请阅读英文原版。

    链接

    英文原版地址:http://incompleteideas.net/book/the-book-2nd.html

    Google Drive资料:https://drive.google.com/drive/folders/0B3w765rOKuKANmxNbXdwaE1YU1k

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    • Reinforcement Learning: An Introduction book
    • Part I: Tabular Solution Methods
      • Chapter 2: Multi-armed Bandits
      • Chapter 3: Finite Markov Decision Processes
      • Chapter 4: Dynamic Programming
      • Chapter 5: Monte Carlo Methods
      • Chapter 6: Temporal-Difference Learning
      • Chapter 7: n-step Bootstrapping
      • Chapter 8: Planning and Learning with Tabular Methods
    • Part II: Approximate Solution Methods
      • Chapter 9: On-policy Prediction with Approximation
      • Chapter 10: On-policy Control with Approximation
      • Chapter 12: Eligibility Traces
      • Chapter 13: Policy Gradient Methods
    • Part III: Looking Deeper
      • Chapter 14: Psychology
    • Appendix
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