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Reinforcement Learning : An Introduction /

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Bibliographic Details
Main Author: Sutton, Richard S.
Other Authors: Barto, Andrew G.
Format: Electronic eBook
Language:English
Published: Cambridge, Mass. : MIT Press, 1998.
Series:Book collections on Project MUSE.
Subjects:
Reinforcement learning.
Intel·ligencia artificial.
Leren.
Reinforcement.
Kunstmatige intelligentie.
Reinforcement learning (Machine learning)
artificial intelligence.
Recherche operationnelle.
Reconnaissance des formes (Informatique)
Intelligence artificielle.
Apprentissage par renforcement (Intelligence artificielle)
Operations Research
Pattern Recognition, Automated
Artificial Intelligence
Operations research.
Pattern recognition systems.
Artificial intelligence.
Electronic books.
Online Access:Full text available:
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Table of Contents:
  • 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.

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