Google DeepMind的David Silver的强化学习课程讲义

Google DeepMind的David Silver的强化学习课程讲义，包括Markov Decision Processes、Planning by Dynamic Programming、Model-Free Prediction、Model-Free Control、Function Approximation、Policy Gradient Methods、Integrating Learning and Planning、Exploration and Exploitation以及游戏案例分析。视频：https://www.youtube.com/playlist?list=PL5X3mDkKaJrL42i_jhE4N-p6E2Ol62Ofa

 属性            大小     日期    时间   名称
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     文件     8140824  2016-03-01 05:25  Case Study - RL in Games.pdf
     文件     2997953  2016-03-01 05:25  Lecture 1 Introduction to Reinforcement Learning.pdf
     文件      835315  2016-03-01 05:25  Lecture 2 Markov Decision Processes.pdf
     文件      823976  2016-03-01 05:25  Lecture 3 Planning by Dynamic Programming.pdf
     文件     1455589  2016-03-01 05:25  Lecture 4 Model-Free Prediction.pdf
     文件     1494703  2016-03-01 05:25  Lecture 5 Model-Free Control.pdf
     文件     1996806  2016-03-01 05:25  Lecture 6 Value Function Approximation.pdf
     文件     1874832  2016-03-01 05:25  Lecture 7 Policy Gradient Methods.pdf
     文件     5746478  2016-03-01 05:25  Lecture 8 Integrating Learning and Planning.pdf
     文件     1339671  2016-03-01 05:25  Lecture 9 Exploration and Exploitation.pdf