Hands-On Reinforcement Learning for Games
Language: en
Pages: 420
Authors: Micheal Lanham
Categories: Computers
Type: BOOK - Published: 2020-01-03 - Publisher: Packt Publishing Ltd

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Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow Key FeaturesGet to
Hands-On Deep Learning for Games
Language: en
Pages: 379
Authors: Micheal Lanham
Categories: Computers
Type: BOOK - Published: 2019-03-30 - Publisher: Packt Publishing Ltd

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Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key FeaturesApply the power of deep learning to
Learning to Play
Language: en
Pages: 330
Authors: Aske Plaat
Categories: Computers
Type: BOOK - Published: 2020-12-23 - Publisher: Springer Nature

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In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he
Hands-On Reinforcement Learning with Python
Language: en
Pages: 309
Authors: Sudharsan Ravichandiran
Categories: Computers
Type: BOOK - Published: 2018-06-28 - Publisher: Packt Publishing Ltd

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A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the world of artificial
Deep Reinforcement Learning Hands-On
Language: en
Pages: 547
Authors: Maxim Lapan
Categories: Computers
Type: BOOK - Published: 2018-06-21 - Publisher: Packt Publishing Ltd

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This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems. Key Features Explore deep reinforcement learning (R