MARC Record from Library of Congress

LEADER: 02923cam a22003617a 4500
001 2011945323
003 DLC
005 20140717081734.0
008 111213s2012 gw a b 001 0 eng d
010 $a 2011945323
020 $a9783642276446
020 $a364227644X
020 $a9783642276453 (electronic bk.)
020 $a3642276458 (electronic bk.)
035 $a(OCoLC)ocn768170254
040 $aBTCTA$beng$cBTCTA$dYDXCP$dOHX$dMUU$dOCLCF$dDLC
042 $alccopycat
050 00 $aQ325.6$b.R465 2012
072 7 $aQ$2lcco
082 04 $a006.3/1$223
245 00 $aReinforcement learning :$bstate-of-the-art /$cMarco Wiering and Martijn van Otterlo (eds.).
260 $aHeidelberg ;$aNew York :$bSpringer,$cc2012.
300 $axxxiv, 638 p. :$bill. ;$c25 cm.
490 1 $aAdaptation, learning, and optimization,$x1867-4534 ;$vv.12
504 $aIncludes bibliographical references and index.
505 0 $a1. Reinforcement learning and Markov decision processes / Martijn van Otterlo, Marco Wiering -- 2. Batch reinforcement learning / Sascha Lange, Thomas Gabel, Martin Riedmiller -- 3. Least-squares methods for policy iteration / Lucian Buşoniu, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Robert Babuška, Bart De Schutter -- 4. Learning and using models / Todd Hester, Peter Stone -- 5. Transfer in reinforcement learning: a framework and a survey / Alessandro Lazaric -- 6. Sample complexity bounds of exploration / Lihong Li -- 7. Reinforcement learning in continuous state and action spaces / Hado van Hasselt -- 8. Solving relational and first-order logical Markov decision processes: a survey / Martijn van Otterlo -- 9. Hierarchical approaches / Bernhard Hengst -- 10. Evolutionary computation for reinforcement learning / Shimon Whiteson -- 11. Bayesian reinforcement learning / Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart -- 12. Partially observable Markov decision processes / Matthijs T. J. Spaan -- 13. Predictively defined representations of state / David Wingate -- 14. Game theory and multi-agent reinforcement learning / Ann Nowé, Peter Vrancx, Yann-Michaël De Hauwere -- 15. Decentralized POMDPs / Frans A. Oliehoek -- 16. Psychological and neuroscientific connections with reinforcement learning / Ashvin Shah -- 17. Reinforcement learning in games / István Szita -- 18. Reinforcement learning in robotics: a survey / Jens Kober, Jan Peters -- 19. Conclusions, future directions and outlook / Marco Wiering, Martijn van Otterlo.
650 0 $aReinforcement learning.
650 7 $aReinforcement learning.$2fast
700 1 $aWiering, Marco.
700 1 $aOtterlo, Martijn van.
830 0 $aAdaptation, learning and optimization ;$vv.12.
856 42 $3Publisher description$uhttp://www.loc.gov/catdir/enhancements/fy1409/2011945323-d.html
856 41 $3Table of contents only$uhttp://www.loc.gov/catdir/enhancements/fy1409/2011945323-t.html