Reinforcement Learning——Chapter 2 Multi-armed Bandits
1. Perface 強化學習與其餘學習方法最大的區別在於，強化學習 it uses training information that evaluates the actions taken rather than instructs by giving correct actions.html 1.1 A k-armed Bandit Problem 假設你面前有K個不一樣的選項，每一次選擇都
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相關文章
- 1. Sutton reinforcement learning _ Chapter 2 Multi-armed Bandits
- 2. Reinforcement Learning：An Introduction Chapter 2 Multi-armed Bandits
- 3. Chapter 2 Multi-armed Bandits
- 4. Reinforcement Learning——Chapter 1 Introduction
- 5. 《Reinforcement Learning》 讀書筆記 2：多臂老虎機（Multi-armed Bandits）
- 6. Deep Reinforcement Learning
- 7. Chapter 2 - Neural Network and Deep Learning
- 8. Reinforcement learning and Deep learning
- 9. Machine Learning(8): Reinforcement learning
- 10. Reinforcement Learning——DP