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001			978-3-540-89722-4
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020			_a9783540897224 _9978-3-540-89722-4
024	7		_a10.1007/978-3-540-89722-4 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
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072		7	_aCOM004000 _2bisacsh
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245	1	0	_aRecent Advances in Reinforcement Learning _h[electronic resource] : _b8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008, Revised and Selected Papers / _cedited by Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko.
250			_a1st ed. 2008.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2008.
300			_aXII, 283 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v5323
505	0		_aLazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees -- Exploiting Additive Structure in Factored MDPs for Reinforcement Learning -- Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration -- Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case -- Regularized Fitted Q-Iteration: Application to Planning -- A Near Optimal Policy for Channel Allocation in Cognitive Radio -- Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets -- Bayesian Reward Filtering -- Basis Expansion in Natural Actor Critic Methods -- Reinforcement Learning with the Use of Costly Features -- Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem -- Optimistic Planning of Deterministic Systems -- Policy Iteration for Learning an Exercise Policy for American Options -- Tile Coding Based on Hyperplane Tiles -- Use of Reinforcement Learning in Two Real Applications -- Applications of Reinforcement Learning to Structured Prediction -- Policy Learning – A Unified Perspective with Applications in Robotics -- Probabilistic Inference for Fast Learning in Control -- United We Stand: Population Based Methods for Solving Unknown POMDPs -- New Error Bounds for Approximations from Projected Linear Equations -- Markov Decision Processes with Arbitrary Reward Processes.
520			_aThis book constitutes revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d'Ascq, France, during June 30 - July 3, 2008. The 21 papers presented were carefully reviewed and selected from 61 submissions. They are dedicated to the field of and current researches in reinforcement learning.
650		0	_aArtificial intelligence.
650		0	_aComputer programming.
650		0	_aComputer science.
650		0	_aApplication software.
650		0	_aDatabase management.
650	1	4	_aArtificial Intelligence.
650	2	4	_aProgramming Techniques.
650	2	4	_aTheory of Computation.
650	2	4	_aComputer and Information Systems Applications.
650	2	4	_aDatabase Management.
700	1		_aGirgin, Sertan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLoth, Manuel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMunos, Rémi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPreux, Philippe. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aRyabko, Daniil. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783540897217
776	0	8	_iPrinted edition: _z9783540897231
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v5323
856	4	0	_uhttps://doi.org/10.1007/978-3-540-89722-4
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