Reinforcement Learning：An Introduction Chapter 2 Multi-armed Bandits
文章目錄 Abstract 2.1 A k-armed Bandit Problem 2.2 Action-value Methods 2.3 The 10-armed Testbed 2.4 Incremental Implementation 2.5 Tracking a Nonstationary Problem 2.6 Optimistic Initial Values 2.7 Upper
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相關文章
- 1. Reinforcement Learning：An Introduction Chapter 1 學習筆記
- 2. Reinforcement Learning——Chapter 2 Multi-armed Bandits
- 3. Chapter 2 Multi-armed Bandits
- 4. Sutton reinforcement learning _ Chapter 2 Multi-armed Bandits
- 5. Reinforcement Learning——Chapter 1 Introduction
- 6. 強化學習導論（Reinforcement Learning：An Introduction）學習筆記（七）
- 7. 《reinforcement learning：an introduction》第十章《On-policy Control with Approximation》總結
- 8. 《reinforcement learning：an introduction》第七章《Multi-step Bootstrapping》總結
- 9. 《reinforcement learning：an introduction》第八章《Planning and Learning with Tabular Methods》總結
- 10. 《reinforcement learning：an introduction》第六章《Temporal-Difference Learning》總結