[Reinforcement Learning] Model-Free Prediction
上篇文章介紹了 Model-based 的通用方法——動態規劃，本文內容介紹 Model-Free 情況下 Prediction 問題，即 "Estimate the value function of an unknown MDP"。 Model-based：MDP已知，即轉移矩陣和獎賞函數均已知 Model-Free：MDP未知 蒙特卡洛學習 蒙特卡洛方法（Monte-Carlo Method
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相關文章
- 1. [Reinforcement Learning] Model-Free Prediction
- 2. Reinforcement Learning：Model-Free Prediction 筆記
- 3. Reinforcement Learning: value function approximation
- 4. Lecture1: Introduction to Reinforcement Learning
- 5. Machine Learning(8): Reinforcement learning
- 6. Reinforcement learning and Deep learning
- 7. Reinforcement Learning: Planning by DP
- 8. David Silver《Reinforcement Learning》課程解讀—— Lecture 4： Model-Free Prediction
- 9. Reinforcement Learning_By David Silver筆記四: Model Free Prediction
- 10. Curiosity-Driven Learning through Next State Prediction