《reinforcement learning：an introduction》第十章《On-policy Control with Approximation》總結
由於組裏新同學進來，需要帶着他入門RL，選擇從silver的課程開始。 對於我自己，增加一個仔細閱讀《reinforcement learning：an introduction》的要求。 因爲之前讀的不太認真，這一次希望可以認真一點，將對應的知識點也做一個簡單總結。 The present chapter features the semi-gradient Sarsa algorithm（即
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相關文章
- 1. 《reinforcement learning：an introduction》第十一章《Off-policy Methods with Approximation》總結
- 2. 《reinforcement learning：an introduction》第九章《On-policy Prediction with Approximation》總結
- 3. 《reinforcement learning：an introduction》第八章《Planning and Learning with Tabular Methods》總結
- 4. 《reinforcement learning：an introduction》第十三章《Policy Gradient Methods》總結
- 5. 《reinforcement learning：an introduction》第六章《Temporal-Difference Learning》總結
- 6. 《reinforcement learning：an introduction》第七章《Multi-step Bootstrapping》總結
- 7. Reinforcement Learning：An Introduction Chapter 1 學習筆記
- 8. Reinforcement Learning：An Introduction Chapter 2 Multi-armed Bandits
- 9. Reinforcement Learning: value function approximation
- 10. Continuous control with Deep Reinforcement Learning