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Advances in Reinforcement Learning - Abdelhamid Mellouk - Bog

Bag om Advances in Reinforcement Learning

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789533073699
  • Indbinding:
  • Hardback
  • Sideantal:
  • 484
  • Udgivet:
  • 14. januar 2011
  • Størrelse:
  • 180x260x27 mm.
  • Vægt:
  • 966 g.
  • 2-3 uger.
  • 10. december 2024

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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
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Beskrivelse af Advances in Reinforcement Learning

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic.

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