Foundations of Deep Reinforcement Learning: Theory and Practice in Python

by Laura Harding Graesser, Keng Wah Loon, Wah Loon Keng

The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice

Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep 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.

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• Format: Paperback
• Language: English
• ISBN: 0135172381
• ISBN13: 9780135172384
• Release Date: December 2019
• Publisher: Addison-Wesley Professional
• Length: 416 Pages
• Weight: 0.05 lbs.
• Dimensions: 0.5" x 6.9" x 9.0"