Reinforcement Learning An Introduction~The 10-armed Testbed
2.3 10臂测试台 为了粗略的评估贪婪算法和ε-greedy 方法的相对有效性，我们通过一系列测试问题进行数值上的比较。这是一个2000次的随机产生的10个臂的赌博问题。对于每个赌博机问题，就像图2.1所示：
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相关文章
- 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