Read Motivated Reinforcement Learning: Curious Characters For Multiuser Games

Motivated Reinforcement Learning: Curious Characters For Multiuser Games

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Description:Motivated learning is an emerging research field in artificial intelligence and cognitive modelling. Computational models of motivation extend reinforcement learning to adaptive, multitask learning in complex, dynamic environments the goal being to understand how machines can develop new skills and achieve goals that were not predefined by human engineers. In particular, this book describes how motivated reinforcement learning agents can be used in computer games for the design of non-player characters that can adapt their behaviour in response to unexpected changes in their environment.This book covers the design, application and evaluation of computational models of motivation in reinforcement learning. The authors start with overviews of motivation and reinforcement learning, then describe models for motivated reinforcement learning. The performance of these models is demonstrated by applications in simulated game scenarios and a live, open-ended virtual world.Researchers in artificial intelligence, machine learning and artificial life will benefit from this book, as will practitioners working on complex, dynamic systems in particular multiuser, online games."We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Motivated Reinforcement Learning: Curious Characters For Multiuser Games. To get started finding Motivated Reinforcement Learning: Curious Characters For Multiuser Games, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 206

Format: PDF, EPUB & Kindle Edition

Publisher: Springer

Release: 2009

ISBN: 3540891862

Description: Motivated learning is an emerging research field in artificial intelligence and cognitive modelling. Computational models of motivation extend reinforcement learning to adaptive, multitask learning in complex, dynamic environments the goal being to understand how machines can develop new skills and achieve goals that were not predefined by human engineers. In particular, this book describes how motivated reinforcement learning agents can be used in computer games for the design of non-player characters that can adapt their behaviour in response to unexpected changes in their environment.This book covers the design, application and evaluation of computational models of motivation in reinforcement learning. The authors start with overviews of motivation and reinforcement learning, then describe models for motivated reinforcement learning. The performance of these models is demonstrated by applications in simulated game scenarios and a live, open-ended virtual world.Researchers in artificial intelligence, machine learning and artificial life will benefit from this book, as will practitioners working on complex, dynamic systems in particular multiuser, online games."We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Motivated Reinforcement Learning: Curious Characters For Multiuser Games. To get started finding Motivated Reinforcement Learning: Curious Characters For Multiuser Games, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Motivated Reinforcement Learning: Curious Characters For Multiuser Games

Motivated Reinforcement Learning: Curious Characters For Multiuser Games

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