Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition
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Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition

by Sudharsan Ravichandiran

Programming Computer Science artificial intelligence
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Explore reinforcement learning with Python in this second edition from Sudharsan Ravichandiran. Covering classic, deep, distributional, and inverse reinforcement learning, the book also introduces OpenAI Gym and TensorFlow for studying and developing reinforcement learning systems.

About This Book

Deep Reinforcement Learning with Python, 2nd Edition, introduces reinforcement learning concepts through a Python-focused approach.

The book covers classic reinforcement learning, deep reinforcement learning, distributional reinforcement learning, and inverse reinforcement learning.

It also explores the use of OpenAI Gym and TensorFlow in reinforcement learning development and experimentation.

Written by Sudharsan Ravichandiran, this edition is designed for readers seeking a practical study of modern reinforcement learning methods.

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I will be using this book for: