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David Silver强化学习课程文件Lecture 1: Introduction to Reinforcement Learning Lecture 2: Markov Decision Processes Lecture 3: Planning by Dynamic Programming Lecture 4: Model-Free Prediction Lecture 5: Model-Free Control Lecture 6: Value Function Approximation Lecture 7: Policy Gradient Methods Lecture 8: Integrating Learning and Planning Lecture 9: Exploration and Exploitation Lecture 10: Case Study: RL in Classic Games

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 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     文件    15487791  2018-11-29 09:48  David Silver强化学习.zip

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