Reinforcement Learning: value function approximation
introduction incremental methods增量法 state value function with prediction approximation action value function with control approximation batch methods批处理 introduction 上一节讲到使用采样的方法进行，状态和action space都比较小
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相关文章
- 1. [Reinforcement Learning] Value Function Approximation
- 2. Value function approximation
- 3. Reinforcement Learning（二）：Value-Based
- 4. Lecture 6：Value Function Approximation(值函数近似)
- 5. 阅读QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
- 6. QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning笔记
- 7. Reinforcement Learning（三）：Policy-Based
- 8. RLChina_Lecture01_《Introduce to Reinforcement Learning and Value-based Methods》_notebook
- 9. Machine Learning(8): Reinforcement learning
- 10. David Silver《Reinforcement Learning》课程解读—— Lecture 1： Introduction to Reinforcement Learning