資源簡介
David Silver強化學習課程文件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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