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Motivated Reinforcement Learning: Curious Characters for Multiuser Games

Kathryn E. Merrick, Mary Lou Maher




[PDF.lc97] Motivated Reinforcement Learning: Curious Characters for Multiuser Games

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 | #5150832 in Books |  Springer |  2009-06-25 | Original language:English | PDF # 1 |  .70 x6.20 x9.30l,1.10 | File type: PDF | 206 pages

 | ISBN13: 9783540891864 | Condition: Used - Like New | Notes: 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!

||0 of 0 people found the following review helpful.| Curious characters are not so curious|By Wieslaw|The book covers the narrow point of view only. I expected more explanations on motivations role in an intelligent artificial agent behavior and human cognitive functions as well.

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 ga...

You easily download any file type for your device.Motivated Reinforcement Learning: Curious Characters for Multiuser Games   |  Kathryn E. Merrick, Mary Lou Maher. I was recommended this book by a dear friend of mine.

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