Reinforcement learning : an introduction

Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.

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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Bibliographic Details
Main Author: Sutton, Richard S.
Other Authors: Barto, Andrew G.
Format: Electronic eBook
Language:English
Published: Cambridge, Mass. : MIT Press, ©1998.
Series:Adaptive computation and machine learning.
Subjects:
Reinforcement learning.
Artificial intelligence.
Operations research.
Pattern recognition systems.
artificial intelligence.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Reinforcement learning (Machine learning)
Pattern recognition systems
Operations research
Artificial intelligence
Reinforcement learning
Kunstmatige intelligentie.
Reinforcement.
Leren.
Online Access:Click for online access
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.

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