Reinforcement Learning : An Introduction /

Reinforcement Learning : An Introduction /

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"In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The o...

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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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