Dekorationsartikel gehören nicht zum Leistungsumfang.
Sprache:
Englisch
72,45 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
Kategorien:
Beschreibung
"Distributional reinforcement learning provides a mathematical theory to describe the random outcomes caused by an agent's decisions"--
"Distributional reinforcement learning provides a mathematical theory to describe the random outcomes caused by an agent's decisions"--
Über den Autor
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.
Inhaltsverzeichnis
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
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
Details
Erscheinungsjahr: | 2023 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262048019 |
ISBN-10: | 0262048019 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Bellemare, Marc G.
Dabney, Will |
Hersteller: | MIT Press Ltd |
Maße: | 236 x 157 x 25 mm |
Von/Mit: | Marc G. Bellemare (u. a.) |
Erscheinungsdatum: | 30.05.2023 |
Gewicht: | 0,62 kg |
Über den Autor
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.
Inhaltsverzeichnis
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
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
Details
Erscheinungsjahr: | 2023 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262048019 |
ISBN-10: | 0262048019 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Bellemare, Marc G.
Dabney, Will |
Hersteller: | MIT Press Ltd |
Maße: | 236 x 157 x 25 mm |
Von/Mit: | Marc G. Bellemare (u. a.) |
Erscheinungsdatum: | 30.05.2023 |
Gewicht: | 0,62 kg |
Warnhinweis