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Date : 2018-06-21

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Deep Reinforcement Learning HandsOn Apply ~ Deep Reinforcement Learning HandsOn Apply modern RL methods with deep Qnetworks value iteration policy gradients TRPO AlphaGo Zero and more eBook Maxim Lapan Kindle Store

Deep Reinforcement Learning HandsOn Apply modern RL ~ Deep Reinforcement Learning HandsOn Apply modern RL methods to practical problems of chatbots robotics discrete optimization web automation and more 2nd Edition Maxim Lapan on FREE shipping on qualifying offers New edition of the bestselling guide to deep reinforcement learning and how its used to solve complex realworld problems

Deep Reinforcement Learning HandsOn Apply modern RL ~ Deep Reinforcement Learning HandsOn is a comprehensive guide to the very latest DL tools and their limitations You will evaluate methods including Crossentropy and policy gradients before applying them to realworld environments Take on both the Atari set of virtual games and family favorites such as Connect4

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Deep Reinforcement Learning HandsOn Apply modern RL ~ Deep Reinforcement Learning HandsOn Apply modern RL methods with deep Qnetworks value iteration policy gradients TRPO AlphaGo Zero and more This practical guide will teach you how deep learning DL can be used to solve complex realworld problems

Deep reinforcement learning handson apply modern RL ~ Get this from a library Deep reinforcement learning handson apply modern RL methods with deep Qnetworks value iteration policy gradients TRPO AlphaGo Zero and more Maxim Lapan This book is a practical developeroriented introduction to deep reinforcement learning RL Explore the theoretical concepts of RL before discovering how deep learning DL methods and tools are

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Deep Reinforcement Learning HandsOn ~ Apply RL methods to cheap hardware robotics platforms Book Description Deep Reinforcement Learning HandsOn Second Edition is an updated and expanded version of the bestselling guide to the very latest reinforcement learning RL tools and techniques It provides you with an introduction to the fundamentals of RL along with the handson

Deep Reinforcement Learning HandsOn GitHub ~ Deep Reinforcement Learning HandsOn is a comprehensive guide to the very latest DL tools and their limitations You will evaluate methods including Crossentropy and policy gradients before applying them to realworld environments Take on both the Atari set of virtual games and family favorites such as Connect4