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Distributional Reinforcement Learning

Autor Marc G. Bellemare, Will Dabney
en Limba Engleză Hardback – 30 mai 2023
"Distributional reinforcement learning provides a mathematical theory to describe the random outcomes caused by an agent's decisions"--
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Specificații

ISBN-13: 9780262048019
ISBN-10: 0262048019
Pagini: 400
Ilustrații: 48 FIGURES
Dimensiuni: 157 x 236 x 25 mm
Greutate: 0.62 kg
Editura: MIT Press Ltd

Notă biografică

Marc G. Bellemare is Senior Staff Research Scientist, Google Research and Adjunct Professor, McGill University. Will Dabney is Senior Staff Research Scientist, DeepMind. Mark Rowland is Senior Research Scientist, DeepMind.

Cuprins

Preface ix
1 Introduction 1
2 The Distribution of Returns 11
3 Learning the Return Distribution 51
4 Operators and Metrics 77
5 Distributional Dynamic Programming 115
6 Incremental Algorithms 161
7 Control 197
8 Statistical Functionals 233
9 Linear Function Approximation 261
10 Deep Reinforcement Learning 293
11 Two Applications and a Conclusion 319
Notation 333
References 337
Index 365