文件名称：David Silver强化学习课件ppt
文件大小：14.77MB
文件格式：ZIP
更新时间：2021-07-23 08:34:30
David Silver 强化学习
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
【文件预览】：
David Silver强化学习
----Lecture9 Exploration and Exploitation.pdf(1.28MB)
----Lecture8 Integrating Learning and Planning.pdf(2.08MB)
----Lecture3 Planning by Dynamic Programming.pdf(805KB)
----Lecture2 Markov Decision Processes.pdf(816KB)
----Lecture6 Value Function Approximation.pdf(1.9MB)
----Lecture1 intro_RL.pdf(2.86MB)
----Lecture5 Model-Free Control.pdf(1.43MB)
----Lecture7 Policy Gradient.pdf(1.79MB)
----Lecture4 Model-free prediction.pdf(1.39MB)
----Lecture10 classic games.pdf(2.96MB)