Reinforcement learning an introduction
Presents the book "Reinforcement Learning: An Introduction," written by Richard S. Sutton and Andrew G. Barto and published by the Massachusetts Institute of Technology (MIT) Press in 1998. The book is a textbook targeted toward engineers and scientists in artificial intelligence, operatio...
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| Main Author | |
|---|---|
| Other Authors | |
| Format | Electronic eBook |
| Language | English |
| Published |
Cambridge, Mass. :
MIT Press,
©1998.
|
| Series | Adaptive computation and machine learning.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780262257053 |
| Physical Description | 1 online zdroj (xviii, 322 pages) : illustrations. |
Cover
Table of Contents:
- 1. Introduction
- 2. Evaluative feedback
- 3. The reinforcement learning problem
- 4. Dynamic programming
- 5. Monte carlo methods
- 6. Temporal-difference learning
- 7. Eligibility traces
- 8. Generalization and function approximation
- 9. Planning and learning
- 10. Dimensions of reinforcement learning
- 11. Case studies.