Distributional Reinforcement Learning 9780262374019, 2022033240, 2022033241, 9780262048019, 9780262374026
The first comprehensive guide to Distributional Reinforcement Learning, providing a new mathematical formalism for think
191 9 13MB
English Pages 379 Year 2023
Table of contents :
1. Introduction
2. The Distribution of Returns
3. Learning the Return Distribution
4. Operators and Metrics
5. Distributional Dynamic Programming
6. Incremental Algorithms
7. Control
8. Statistical Functionals
9. Linear Function Approximation
10. Deep Reinforcement Learning
10.1. Learning with a Deep Neural Network
10.2. Distributional Reinforcement Learning with Deep Neural Networks
10.3. Implicit Parameterizations
10.4. Evaluation of Deep Reinforcement Learning Agents
10.5. How Predictions Shape State Representations
10.6. Technical Remarks
10.7. Bibliographical Remarks
10.8. Exercises
11. Two Applications and a Conclusion
Notation
References
Index
Series List
1. Introduction
2. The Distribution of Returns
3. Learning the Return Distribution
4. Operators and Metrics
5. Distributional Dynamic Programming
6. Incremental Algorithms
7. Control
8. Statistical Functionals
9. Linear Function Approximation
10. Deep Reinforcement Learning
10.1. Learning with a Deep Neural Network
10.2. Distributional Reinforcement Learning with Deep Neural Networks
10.3. Implicit Parameterizations
10.4. Evaluation of Deep Reinforcement Learning Agents
10.5. How Predictions Shape State Representations
10.6. Technical Remarks
10.7. Bibliographical Remarks
10.8. Exercises
11. Two Applications and a Conclusion
Notation
References
Index
Series List
- Author / Uploaded
- Marc G. Bellemare
- Will Dabney
- Mark Rowland
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