Distributional Reinforcement Learning (Hardcover)

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