David Silver《Reinforcement Learning》课程解读—— Lecture 5： Model-Free Control
David Silver《Reinforcement Learning》课程解读—— Lecture 5： Model-Free Control 上次课谈到了在给定policy的情况下求解未知environment的MDP问题，称之为Model-Free Prediction问题。本节则是解决未知policy情况下未知environment的MDP问题，也就是Model-Free Control问
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相关文章
- 1. David Silver《Reinforcement Learning》课程解读—— Lecture 1： Introduction to Reinforcement Learning
- 2. David Silver《Reinforcement Learning》课程解读—— Lecture 3： Planning by Dynamic Programming
- 3. David Silver《Reinforcement Learning》课程解读—— Lecture 4： Model-Free Prediction
- 4. Lecture 5：Model Free Control -By David Silver
- 5. Reinforcement Learning_By David Silver笔记五: Model Free Control
- 6. UCL Course on RL by David Silver Lecture 1: Introduction to Reinforcement Learning
- 7. silver课程笔记----Lecture 1: Introduction to Reinforcement Learning
- 8. 【转载】David Silver公开课5——Model-Free Control
- 9. Reinforcement Learning: Model-free control
- 10. Reinforcement Learning_By David Silver笔记四: Model Free Prediction