Reinforcement learning: integrating learning and planning, exploitation and exploration
介绍 基于模型的RL 整体框架 基于仿真的搜索 Exploration and Exploitation 介绍 越看到后面，我越发觉得RL更像是一种思想，Policy，State都需要自己进行定义，计算value function的过程也有公式，但是不如深度学习那么直接。 之前的章节是说到如何从经验中得到policy和value function，这一节是如何从经验中获取模型。然后使用模型加经验来
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相关文章
- 1. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
- 2. Planning and Learning
- 3. Reinforcement learning and Deep learning
- 4. 《reinforcement learning：an introduction》第八章《Planning and Learning with Tabular Methods》总结
- 5. 8 Planning and Learning with Tabular Methods
- 6. Reinforcement Learning Note: Concept and MDP
- 7. Reinforcement Learning, Fast and Slow
- 8. 深度增强学习David Silver（八）——Integrating Learning and Planning
- 9. 【转载】David Silver公开课8——Integrating Learning and Planning
- 10. Reinforcement Learning: Planning by DP