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Motivated Reinforcement Learning [electronic resource].

By: Contributor(s): Material type: Computer fileComputer filePublisher number: 9783540891864Publication details: Dordrecht : Springer, 2009.ISBN:
  • 9783540891871
Subject(s): Genre/Form: Additional physical formats: Print version:: Motivated Reinforcement LearningDDC classification:
  • 006.31 794.8/1526
LOC classification:
  • QA76.76.I58M47 2009
Online resources:
Contents:
Preface; Part I - Non-Player Characters and Reinforcement Learning; Part II - Developing Curious Characters Using MotivatedReinforcement Learning; Part III - Curious Characters in Games; Part IV - Future; Acronyms; Contents; Part INon-Player Characters andReinforcement Learning; Chapter 1 Non-Player Characters in Multiuser Games; Chapter 2 Motivation in Natural and Artificial Agents; Chapter 3 Towards Motivated Reinforcement Learning; Chapter 4 Comparing the Behaviour of Learning Agents; Part II Developing Curious Characters UsingMotivated Reinforcement Learning
Chapter 5 Curiosity, Motivation and Attention FocusChapter 6 Motivated Reinforcement Learning Agents; Part III Curious Characters in Games; Chapter 7 Curious Characters for Multiuser Games; Chapter 8 Curious Characters for Games in Complex,Dynamic Environments; Chapter 9 Curious Characters for Games in Second Life; Part IV Future; Chapter 10 Towards the Future; Index;
Summary: Motivated learning is a research field in artificial intelligence and cognitive modelling. 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.
Holdings
Item type Home library Call number Status Date due Barcode Item holds
Electronic Resource Electronic Resource UH Online Library Ebooks Not for loan
Total holds: 0

Enhanced descriptions from Syndetics:

Description based upon print version of record.

Preface; Part I - Non-Player Characters and Reinforcement Learning; Part II - Developing Curious Characters Using MotivatedReinforcement Learning; Part III - Curious Characters in Games; Part IV - Future; Acronyms; Contents; Part INon-Player Characters andReinforcement Learning; Chapter 1 Non-Player Characters in Multiuser Games; Chapter 2 Motivation in Natural and Artificial Agents; Chapter 3 Towards Motivated Reinforcement Learning; Chapter 4 Comparing the Behaviour of Learning Agents; Part II Developing Curious Characters UsingMotivated Reinforcement Learning

Chapter 5 Curiosity, Motivation and Attention FocusChapter 6 Motivated Reinforcement Learning Agents; Part III Curious Characters in Games; Chapter 7 Curious Characters for Multiuser Games; Chapter 8 Curious Characters for Games in Complex,Dynamic Environments; Chapter 9 Curious Characters for Games in Second Life; Part IV Future; Chapter 10 Towards the Future; Index;

Motivated learning is a research field in artificial intelligence and cognitive modelling. 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.