David Silver《Reinforcement Learning》課程解讀—— Lecture 5： Model-Free Control
David Silver《Reinforcement Learning》課程解讀—— Lecture 5： Model-Free Control 上次課談到了在給定policy的情況下求解未知environment的MDP問題，稱之爲Model-Free Prediction問題。本節則是解決未知policy情況下未知environment的MDP問題，也就是Model-Free Control問
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- 1. David Silver《Reinforcement Learning》課程解讀—— Lecture 1： Introduction to Reinforcement Learning
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相關文章
- 1. David Silver《Reinforcement Learning》課程解讀—— Lecture 1： Introduction to Reinforcement Learning
- 2. David Silver《Reinforcement Learning》課程解讀—— Lecture 3： Planning by Dynamic Programming
- 3. David Silver《Reinforcement Learning》課程解讀—— Lecture 4： Model-Free Prediction
- 4. Lecture 5：Model Free Control -By David Silver
- 5. Reinforcement Learning_By David Silver筆記五: Model Free Control
- 6. UCL Course on RL by David Silver Lecture 1: Introduction to Reinforcement Learning
- 7. silver課程筆記----Lecture 1: Introduction to Reinforcement Learning
- 8. 【轉載】David Silver公開課5——Model-Free Control
- 9. Reinforcement Learning: Model-free control
- 10. Reinforcement Learning_By David Silver筆記四: Model Free Prediction