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Study Recent Advances in Reinforcement Learning

Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008283 pages | Springer; 1 edition (December 1, 2008) | ISBN-10: 3540897216 | PDF | 10 MbThis book constitutes revised ...

Science/Engineering Transfer in Reinforcement Learning Domains

Transfer in Reinforcement Learning Domains (Studies in Computational Intelligence) by Matthew E. TaylorPublisher: Springer | Number Of Pages: 235 | Publication Date: 2009-08-01 | ISBN-10: 3642018815 | PDF | 2 MbIn reinforcement learni ...

Study Motivated Reinforcement Learning: Curious Characters for Multiuser Games

Motivated Reinforcement Learning: Curious Characters for Multiuser GamesSpringer | ISBN: 3540891862 | 2009-07-01 | PDF | 206 pages | 9 Mb Motivated learning is an emerging research field in artificial intelligence and cognitive modelling. C ...

Science/Engineering Adaptive Brain: Cognition, Learning, Reinforcement and Rhythm Pt. 1 by Stephen Grossberg

Adaptive Brain: Cognition, Learning, Reinforcement and Rhythm Pt. 1 by Stephen GrossbergPublisher: Elsevier Science | December 1986 | ISBN: 0444701176 | Pages: 518 | PDF | 9.3 MBThese books bring together recent neural models of vision, spe ...

Technical Reinforcement Learning: An Introduction

Reinforcement learning is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In this book, Richard Sutton and Andrew Barto p ...

Programming Reinforcement Learning: Theory and Applications

Cornelius Weber, Mark Elshaw and Norbert Michael Mayer “Reinforcement Learning: Theory and Applications" I-Tech Education and Publishing, Vienna, Austria | 2008-01 | ISBN: 9783902613141 | 424 pages | PDF | 11,7 MB Brains rule the world ...