| Foundations of Deep Reinforcement Learning (Addison-Wesley) |
| Wednesday, 30 September 2020 | |||
In the past decade deep reinforcement learning (RL) has achieved remarkable results on a range of problems, from single and multiplayer games–such as Go, Atari games, and DotA 2–to robotics. This book, subtitled "Theory and Practice in Python", is an introduction to deep RL that combines both theory and implementation. Laura Graesser and Wah Loon Keng start with intuition, then explain the theory of deep RL algorithms, discusse implementations in its companion software library SLM Lab, and finish with the practical details of getting deep RL to work.
Author: Laura Graesser and Wah Loon Keng
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