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Product details:
- ISBN-10 : 1638350507
- ISBN-13 : 9781638350507
- Author : Brandon Brown; Alexander Zai
Table of contents:
Part 1. Foundations
Chapter 1. What is reinforcement learning?
Chapter 2. Modeling reinforcement learning problems: Markov decision processes
Chapter 3. Predicting the best states and actions: Deep Q-networks
Chapter 4. Learning to pick the best policy: Policy gradient methods
Chapter 5. Tackling more complex problems with actor-critic methods
Part 2. Above and beyond
Chapter 6. Alternative optimization methods: Evolutionary algorithms
Chapter 7. Distributional DQN: Getting the full story
Chapter 8. Curiosity-driven exploration
Chapter 9. Multi-agent reinforcement learning
Chapter 10. Interpretable reinforcement learning: Attention and relational models
Chapter 11. In conclusion: A review and roadmap
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