# Book_Reinforcement Learning: An Introduction
###### tags: `Reinforcement Learning` `book`
Part I
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- [Reinforcement Learning: An Introduction_Chapter 2 Multi-armed Bandits](https://hackmd.io/@shaoeChen/Sk7frzq4u)
- [Reinforcement Learning: An Introduction_Chapter 3 Finite Markov Decision Processes](https://hackmd.io/@shaoeChen/Hkm3mMjL_)
- [Reinforcement Learning: An Introduction_Chapter 4 Dynamic Programming](https://hackmd.io/@shaoeChen/SydNt5G3_)
- [Reinforcement Learning: An Introduction_Chapter 5 Monte Carlo Methods](https://hackmd.io/@shaoeChen/rJ46Bsqu_)
- [Reinforcement Learning: An Introduction_Chapter 6 Temporal-Difference Learning](https://hackmd.io/@shaoeChen/Byd6HbFa_)
- [Reinforcement Learning: An Introduction_Chapter 7 $n$-step Bootstrapping](https://hackmd.io/@shaoeChen/By2QkpgkY)
- [Reinforcement Learning: An Introduction_Chapter 8 Planning and Learning with Tabular Methods](https://hackmd.io/@shaoeChen/rkeER4JxK)
- [Reinforcement Learning: An Introduction_Chapter Part II: Approximate Solution Methods](https://hackmd.io/@shaoeChen/B1Tp3dHzK)
Part II
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- [Reinforcement Learning: An Introduction_Chapter 9 On-policy Prediction with Approximation](https://hackmd.io/@shaoeChen/rJGNlRUGY)
- [Reinforcement Learning: An Introduction_Chapter 10 On-policy Control with Approximation](https://hackmd.io/@shaoeChen/BybdEqI8F)
- [Reinforcement Learning: An Introduction_Chapter 11 Off-policy Methods with Approximation]
- [Reinforcement Learning: An Introduction_Chapter 12 Eligibility Traces]
- [Reinforcement Learning: An Introduction_Chapter 13 Policy Gradient Methods](https://hackmd.io/@shaoeChen/SyxRNt0LF)
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