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Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques

Title
Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques / Micheal Lanham.
ISBN
9781839216770
1839216778
9781839214936
Publication
Birmingham, UK : Packt Publishing, 2020.
Physical Description
1 online resource (1 volume) : illustrations
Local Notes
Access is available to the Yale community.
Notes
Description based on online resource; title from title page (Safari, viewed June 17, 2020).
Access and use
Access restricted by licensing agreement.
Summary
The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tasks and build next-generation games using a ...
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Lanham, Micheal. Hands-On Reinforcement Learning for Games : Implementing Self-Learning Agents in Games Using Artificial Intelligence Techniques. Birmingham : Packt Publishing, Limited, ©2020
Format
Books / Online
Language
English
Added to Catalog
December 09, 2020
Citation

Available from:

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