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 Publisher: Addison-Wesley Date: December 2019 Pages: 416 ISBN: 978-0135172384 Print: 0135172381 Kindle: B07ZVYZC6F Audience: Developers interested in reinforcement learning Level: Intermediate/Advanced Category: Artificial Intelligence
- Understand each key aspect of a deep RL problem
- Explore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)
- Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)
- Understand how algorithms can be parallelized synchronously and asynchronously
- Run algorithms in SLM Lab and learn the practical implementation details for getting deep RL to work
- Explore algorithm benchmark results with tuned hyperparameters
- Understand how deep RL environments are designed
For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.
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Microsoft Azure For Dummies, 2nd Edition
Author: Jack A. Hyman Publisher: For Dummies Pages: 416 ISBN: 978-1119898061 Print:1119898064 Kindle: B0BNWG1HYK Audience: Azure novices?! Rating: 1 or 4.5 (see review) Reviewer: Ian Stirk
This book aims to provide a gentle yet thorough introduction to Microsoft Azure, how does it fare?
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The AWK Programming Language, 2nd Ed
Author: Alfred V. Aho, Brian W. Kernighan and Peter J. Weinberger Publisher: Addison-Wesley Pages: 240 ISBN: 978-0138269722 Print: 0138269726 Kindle: B0CCJ1N4X3 Audience: Developers interested in Awk Rating: 5 Reviewer: Kay Ewbank
The name Brian Kernighan among the authors of this updated classic raises [ ... ]
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