Learning to Play

Reinforcement Learning and Games

AvAske Plaat

Inbunden, Engelska, 2020

753 kr

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Häftad

540 kr

Beskrivning

In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works.

Produktinformation

Utgivningsdatum:2020-11-22
Mått:155 x 235 x 27 mm
Vikt:652 g
Format:Inbunden
Språk:Engelska
Antal sidor:330
Förlag:Springer Nature Switzerland AG
ISBN:9783030592370

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Mer om författaren

Prof. Aske Plaat is Professor of Data Science at Leiden University and scientific director of the Leiden Institute of Advanced Computer Science (LIACS). He is co-founder of the Leiden Centre of Data Science (LCDR) and initiated the SAILS stimulation program. His research interests include reinforcement learning, scalable combinatorial reasoning algorithms, games and self-learning systems.

Innehållsförteckning

Introduction.- Intelligence and Games.- Reinforcement Learning.- Heuristic Planning.- Adaptive Sampling.- Function Approximation.- Self-Play.- Conclusion.- App. A, Deep Reinforcement Learning Environments.- App. B, Running Python.- App. C, Tutorial for the Game of Go.- App. D, AlphaGo Technical Details.- References.- List of Figures.- List of Tables.- List of Algorithms.- Index.