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Foundations of Deep Reinforcement Learning: Theory and Practice in Python-P2P

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.

Foundations of Deep Reinforcement Learning: Theory and Practice in Python-P2P
English | 2020 | ISBN-13: 978-0135172384 | 413 Pages | True (PDF, EPUB, MOBI) |61.64 MB
Download: ( NITROFLARE ) | ( RAPIDGATOR )

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  1. Cristiano Ronaldo
    December 31st, 2020 | 00:46
  2. Dunal
    December 31st, 2020 | 00:47
  3. Katfile
    December 31st, 2020 | 03:52
  4. Matbb
    January 6th, 2021 | 21:54

    Foundations of Deep Reinforcement Learning: Theory and Practice in Python-P2P

    https://katfile.com/c6awo4hrnots/Foundations_of_Deep_Reinforcement_Learning.rar.html

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