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Foundations of Deep Reinforcement Learning

  • By Wah Loon Keng, Laura Graesser
  • Published Nov 20, 2019 by Addison-Wesley Professional. Part of the Addison-Wesley Data & Analytics Series series.
  • Pages: 416
  • eBook (Watermarked)
Foundations of Deep Reinforcement Learning: Theory and Practice in Python

The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and PracticeDeep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems.

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