Reinforcement Learning : An Introduction /
Furkejuvvon:
| Váldodahkki: | |
|---|---|
| Eará dahkkit: | |
| Materiálatiipa: | Elektrovnnalaš E-girji |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
Cambridge, Mass. :
MIT Press,
1998.
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| Ráidu: | Book collections on Project MUSE.
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| Fáttát: | |
| Liŋkkat: | Full text available: |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
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Sisdoallologahallan:
- 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.