David Silver《Reinforcement Learning》课程解读—— Lecture 4： Model-Free Prediction
David Silver《Reinforcement Learning》课程解读—— Lecture 4： Model-Free Prediction DP动态规划可以解决已知environment的MDP问题，即已知 S,A,P,R,γ ，根据是否已知policy又将问题划分为prediction和control的问题。本质上来讲这种known MDP问题已知environment即转移矩阵与
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相关文章
- 1. David Silver《Reinforcement Learning》课程解读—— Lecture 4： Model-Free Prediction
- 2. David Silver《Reinforcement Learning》课程解读—— Lecture 1： Introduction to Reinforcement Learning
- 3. David Silver《Reinforcement Learning》课程解读—— Lecture 5： Model-Free Control
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