Reinforcement Learning : An Introduction /

Furkejuvvon:
Bibliográfalaš dieđut
Váldodahkki: Sutton, Richard S.
Eará dahkkit: Barto, Andrew G.
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Cambridge, Mass. : MIT Press, 1998.
Ráidu:Book collections on Project MUSE.
Fáttát:
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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.