LEADER 03756nam 2200589Ia 450 001 9910768471303321 005 20200520144314.0 010 $a3-540-89722-4 024 7 $a10.1007/978-3-540-89722-4 035 $a(CKB)1000000000545882 035 $a(SSID)ssj0000319771 035 $a(PQKBManifestationID)11247499 035 $a(PQKBTitleCode)TC0000319771 035 $a(PQKBWorkID)10338603 035 $a(PQKB)11381856 035 $a(DE-He213)978-3-540-89722-4 035 $a(MiAaPQ)EBC3063770 035 $a(PPN)132861577 035 $a(EXLCZ)991000000000545882 100 $a20081205d2008 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aRecent advances in reinforcement learning $e8th European workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008 : revised and selected papers /$fSertan Girgin ... [et al.] (eds.) 205 $a1st ed. 2008. 210 $aBerlin ;$aNew York $cSpringer$d2008 215 $a1 online resource (XII, 283 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v5323 225 1 $aLecture notes in artifical intelligence 300 $aInternational conference proceedings. 311 $a3-540-89721-6 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book constitutes revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d'Ascq, France, during June 30 - July 3, 2008. The 21 papers presented were carefully reviewed and selected from 61 submissions. They are dedicated to the field of and current researches in reinforcement learning. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence. 410 0$aLecture notes in computer science ;$v5323. 606 $aReinforcement learning$vCongresses 606 $aLearning, Psychology of 615 0$aReinforcement learning 615 0$aLearning, Psychology of. 676 $a006.3/1 701 $aGirgin$b Sertan$01758254 712 12$aEWRL 2008 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768471303321 996 $aRecent advances in reinforcement learning$94196399 997 $aUNINA