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Reinforcement learning: an introduction

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[2020]
The MIT Press Cambridge, Massachusetts
ISBN: 9780262352703, 9780262039246

Cambridge, Massachusetts : The MIT Press, Adaptive computation and machine learning : Second edition, 1 Online-Ressource (xxii, 526 pages : illustrations, diagrams) ()  GO

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Abstract: "Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms."

Keyword(s): Reinforcement learning - textbooks ; Artificial Intelligence ; Textbook ; Machine learning - textbooks ; Deep learning ; AI ; Algorithms ; Algorithmic programming ; Lehrbuch ; Operant conditioning ; RL

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eMedia eBook 006. 3107 Sut 1 available Find similar...
Content:
  • Part 1: Tabular Solution Methods
  • Part 2: Approximate Solution Methods
  • Part 3: Looking Deeper


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 Record created 2026-06-19, last modified 2026-06-19


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