000			02750 am a22003377a 4500
001			39138
008			151224s2012 gw a b 001 0 eng d
020			_a9783642276446
020			_a364227644X
020			_a9783642276453 _q(electronic bk.)
020			_a3642276458 _q(electronic bk.)
035			_a(OCoLC)
040			_aBAUN _beng _cBAUN _erda
049			_aBAUN_MERKEZ
050	0	0	_aQ325.6 _b.R465 2012
245	0	0	_aReinforcement learning : _bstate-of-the-art / _cMarco Wiering and Martijn van Otterlo (eds.).
264		1	_aHeidelberg ; _aNew York : _bSpringer, _c2012.
300			_axxxiv, 638 pages : _billustrations ; _c25 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
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 _t-- 2. Batch reinforcement learning / Sascha Lange, Thomas Gabel, Martin Riedmiller _t-- 3. Least-squares methods for policy iteration / Lucian Buşoniu, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Robert Babuška, Bart De Schutter _t-- 4. Learning and using models / Todd Hester, Peter Stone _t-- 5. Transfer in reinforcement learning: a framework and a survey / Alessandro Lazaric _t-- 6. Sample complexity bounds of exploration / Lihong Li _t-- 7. Reinforcement learning in continuous state and action spaces / Hado van Hasselt _t-- 8. Solving relational and first-order logical Markov decision processes: a survey / Martijn van Otterlo _t-- 9. Hierarchical approaches / Bernhard Hengst _t-- 10. Evolutionary computation for reinforcement learning / Shimon Whiteson _t-- 11. Bayesian reinforcement learning / Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart _t-- 12. Partially observable Markov decision processes / Matthijs T. J. Spaan _t-- 13. Predictively defined representations of state / David Wingate _t-- 14. Game theory and multi-agent reinforcement learning / Ann Nowé, Peter Vrancx, Yann-Michaël De Hauwere _t-- 15. Decentralized POMDPs / Frans A. Oliehoek _t-- 16. Psychological and neuroscientific connections with reinforcement learning / Ashvin Shah _t-- 17. Reinforcement learning in games / István Szita _t-- 18. Reinforcement learning in robotics: a survey / Jens Kober, Jan Peters _t-- 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	_9108500 _aAdaptation, learning and optimization ; _vv.12.
942			_2lcc _cKT
999			_c35956 _d35956