Reinforcement Learning : An Introduction /
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| 格式: | 电子 电子书 |
| 语言: | 英语 |
| 出版: |
Cambridge, Mass. :
MIT Press,
1998.
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| 丛编: | Book collections on Project MUSE.
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| 在线阅读: | Full text available: |
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书本目录:
- Contents
- Series Foreword
- Preface
- I. The Problem
- 1. Introduction
- 2. Evaluative Feedback
- 3. The Reinforcement Learning Problem
- II. Elementary Solution Methods
- 4. Dynamic Programming
- 5. Monte Carlo Methods
- 6. Temporal-Difference Learning
- III. A Unified View
- 7. Eligibility Traces
- 8. Generalization and Function Approximation
- 9. Planning and Learning
- 10. Dimensions of Reinforcement Learning
- 11. Case Studies
- References
- Summary of Notation
- Index.