Reinforcement Learning An Introduction~The 10-armed Testbed
2.3 10臂測試臺 爲了粗略的評估貪婪算法和ε-greedy 方法的相對有效性，我們通過一系列測試問題進行數值上的比較。這是一個2000次的隨機產生的10個臂的賭博問題。對於每個賭博機問題，就像圖2.1所示：
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相關文章
- 1. Policy in Reinforcement Learning
- 2. Introduction to Reinforcement Learning
- 3. Deep Reinforcement Learning
- 4. Reinforcement Learning——Chapter 2 Multi-armed Bandits
- 5. CS231N-14-Reinforcement Learning
- 6. Machine Learning(8): Reinforcement learning
- 7. Reinforcement learning and Deep learning
- 8. Reinforcement Learning Exercise 4.1
- 9. Reinforcement Learning——Chapter 1 Introduction
- 10. Lecture1: Introduction to Reinforcement Learning