《reinforcement learning：an introduction》第十章《On-policy Control with Approximation》总结
由于组里新同学进来，需要带着他入门RL，选择从silver的课程开始。 对于我自己，增加一个仔细阅读《reinforcement learning：an introduction》的要求。 因为之前读的不太认真，这一次希望可以认真一点，将对应的知识点也做一个简单总结。 The present chapter features the semi-gradient Sarsa algorithm（即
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相关文章
- 1. 《reinforcement learning：an introduction》第十一章《Off-policy Methods with Approximation》总结
- 2. 《reinforcement learning：an introduction》第九章《On-policy Prediction with Approximation》总结
- 3. 《reinforcement learning：an introduction》第八章《Planning and Learning with Tabular Methods》总结
- 4. 《reinforcement learning：an introduction》第十三章《Policy Gradient Methods》总结
- 5. 《reinforcement learning：an introduction》第六章《Temporal-Difference Learning》总结
- 6. 《reinforcement learning：an introduction》第七章《Multi-step Bootstrapping》总结
- 7. Reinforcement Learning：An Introduction Chapter 1 学习笔记
- 8. Reinforcement Learning：An Introduction Chapter 2 Multi-armed Bandits
- 9. Reinforcement Learning: value function approximation
- 10. Continuous control with Deep Reinforcement Learning