Deep Reinforcement Learning in Action 1st edition by Alexander Zai, Brandon Brown – Ebook PDF Instant Download/Delivery: 1617295434, 978-1617295430
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Product details:
ISBN 10: 1617295434
ISBN 13: 978-1617295430
Author: Alexander Zai, Brandon Brown
Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Deep Reinforcement Learning in Action 1st Table of contents:
PART 1 – FOUNDATIONS
1. What is reinforcement learning?
2. Modeling reinforcement learning problems: Markov decision processes
3. Predicting the best states and actions: Deep Q-networks
4. Learning to pick the best policy: Policy gradient methods
5. Tackling more complex problems with actor-critic methods
PART 2 – ABOVE AND BEYOND
6. Alternative optimization methods: Evolutionary algorithms
7. Distributional DQN: Getting the full story
8.Curiosity-driven exploration
9. Multi-agent reinforcement learning
10. Interpretable reinforcement learning: Attention and relational models
11. In conclusion: A review and roadmap
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