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	Rational and mechanistic perspectives on reinforcement learning [My Copy] Cognition, Vol. 113, No. 3. (December 2009), pp. 350-364. by Nick Chater posted to review reinforcement_learning model by nelmor on 2009-12-21 07:58:28 as along with 2 people billhao kapfelba
	The Epoch-Greedy Algorithm for Contextual Multi-armed Bandits [My Copy] by John Langford, Tong Zhang posted to reinforcement_learning reinforcement learning bandit by katja on 2009-12-16 14:48:32 as
	Finite-time Analysis of the Multiarmed Bandit Problem [My Copy] Machine Learning, Vol. 47, No. 2. (1 May 2002), pp. 235-256. by Peter Auer, Nicolò Cesa-Bianchi, Paul Fischer posted to reinforcement_learning reinforcement learning bandit by katja on 2009-12-15 17:55:25 as along with 1 person and 1 group abrentnall QFRMC_ConsumerCredit
	Active exploration for learning rankings from clickthrough data [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 570-579. by Filip Radlinski, Thorsten Joachims posted to reinforcement_learning reinforcement rank learning exploration by katja to the group ilps on 2009-12-15 13:54:06 as along with 4 people vitalaswp4 billsus pprett avirr
	Learning diverse rankings with multi-armed bandits [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 784-791. by Filip Radlinski, Robert Kleinberg, Thorsten Joachims posted to rl retrieval reinforcement_learning reinforcement learning ir information diversity by katja to the group ilps on 2009-11-19 11:20:39 as along with 1 person idlebrain
	Interactively optimizing information retrieval systems as a dueling bandits problem [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 1201-1208. by Yisong Yue, Thorsten Joachims posted to rl retrieval reinforcement_learning reinforcement rank learning l2r ir information by katja to the group ilps on 2009-11-19 11:18:21 as
	Binary Action Search for Learning Continuous-Action Control Policies [My Copy] In Proceedings of the 26th Annual International Conference on Machine Learning (ICML) (2009), pp. 793-800. by Jason Pazis, Michail G. Lagoudakis posted to reinforcement_learning by bsilverthorn on 2009-11-16 16:52:01 as
	Learning to Select Branching Rules in the DPLL Procedure for Satisfiability [My Copy] Electronic Notes in Discrete Mathematics, Vol. 9 (June 2001), pp. 344-359. by Michail Lagoudakis, Michael Littman posted to satisfiability reinforcement_learning algorithm_selection by bsilverthorn on 2009-11-09 00:11:45 as
	Adding Prediction Risk to the Theory of Reward Learning [My Copy] Annals of the New York Academy of Sciences, Vol. 1104, No. Reward and Decision Making in Corticobasal Ganglia Networks. (May 2007), pp. 135-146. by F. Kerstin Preuschof, S. Peter Bossaert posted to uncertainty rescorla-wagner reinforcement_learning learning dopamine adaptive_learning_rate by flieder on 2009-11-04 15:57:35 as
	Multiagent reinforcement learning in the Iterated Prisoner's Dilemma [My Copy] Biosystems, Vol. 37, No. 1-2. (1996), pp. 147-166. by T. Sandholm posted to reinforcement_learning multi-agent_system game_theory dilemma by mrkn on 2009-11-03 03:30:20 as
	Human Reinforcement Learning Subdivides Structured Action Spaces by Learning Effector-Specific Values [My Copy] J. Neurosci., Vol. 29, No. 43. (28 October 2009), pp. 13524-13531. by Samuel J. Gershman, Bijan Pesaran, Nathaniel D. Daw posted to reinforcement_learning human fmri effectors by klouie on 2009-10-28 20:04:50 as along with 1 person brembs
	Neuronal Coding of Prediction Errors [My Copy] Annual Review of Neuroscience, Vol. 23, No. 1. (2000), pp. 473-500. by Wolfram Schultz, Anthony Dickinson posted to rescorla-wagner reinforcement_learning prediction_error perceptual_learning perceptual_inference mmn by flieder on 2009-10-26 21:00:44 as along with 5 people and 1 group ifat arwen suizan Tominator nishiokov Glimcher_Lab
	Reinforcement learning in populations of spiking neurons [My Copy] Nat Neurosci, Vol. 12, No. 3. (15 February 2009), pp. 250-252. by Robert Urbanczik, Walter Senn posted to reinforcement_learning population_coding computational_modelling by tyrell_turing on 2009-10-26 17:32:25 as along with 6 people BBoyButzemann tkf klouie davidcsterratt sen_cheng subhacom
	The Adaptive k-Meteorologists Problem and Its Application to Structure Learning and Feature Selection in Reinforcement Learning [My Copy] In Proceedings of the 26th Annual International Conference on Machine Learning (ICML '09) (2009), pp. 249-256. by Carlos Diuk, Lihong Li, Bethany R. Leffler posted to reinforcement_learning knows_what_it_knows by bsilverthorn on 2009-10-19 16:15:04 as
	Learning the value of information in an uncertain world [My Copy] Nat Neurosci, Vol. 10, No. 9. (05 August 2007), pp. 1214-1221. by Timothy E. J. Behrens, Mark W. Woolrich, Mark E. Walton, Matthew F. S. Rushworth posted to uncertainty reward reinforcement_learning perceptual_learning by flieder on 2009-10-14 21:22:33 as along with 8 people and 1 group jasonasm sternshein sbarthelme nelmor shivakmr zhihui42 Gyoku quianominorleo VisionLab
	Self-Optimizing Memory Controllers: A Reinforcement Learning Approach [My Copy] Computer Architecture, 2008. ISCA '08. 35th International Symposium on In Proceedings of the 35th International Symposium on Computer Architecture (ISCA '08), Vol. 0 (15 July 2008), pp. 39-50. by Engin İpek, Onur Mutlu, José F. Martínez, Rich Caruana posted to reinforcement_learning computer_architecture by bsilverthorn on 2009-09-28 19:36:15 as along with 2 people sambayliss mamadoudiao
	Recent Advances in Hierarchical Reinforcement Learning [My Copy] Discrete Event Dynamic Systems, Vol. 13, No. 4. (1 October 2003), pp. 341-379. by Andrew G. Barto, Sridhar Mahadevan posted to temporal_abstraction reinforcement_learning partial_observability hierarchical_reinforcement hierarchical_organization dimensionality decisions by ethan_selfridge on 2009-09-27 19:24:42 as along with 2 people creswick Cavadini
	Robust localization of auditory and visual targets in a robotic barn owl [My Copy] Robotics and Autonomous Systems, Vol. 30, No. 1-2. (31 January 2000), pp. 181-193. by M. Rucci, J. Wray, G. M. Edelman posted to visual robotics reinforcement_learning owl model map-transformation auditory by BBoyButzemann on 2009-09-24 12:38:28 as
	Can reinforcement learning explain the development of causal inference in multisensory integration? [My Copy] Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on (28 July 2009), pp. 1-7. by T. H. Weisswange, C. A. Rothkopf, T. Rodemann, J. Triesch posted to reinforcement_learning orienting model by BBoyButzemann on 2009-09-22 08:49:51 as
	Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning [My Copy] Nat Neurosci, Vol. 12, No. 9. (16 August 2009), pp. 1180-1186. by Gediminas Luksys, Wulfram Gerstner, Carmen Sandi posted to stress reinforcement_learning noradrenaline mouse by psique on 2009-09-20 14:36:24 as along with 3 people brembs fpbattaglia PaperCollector
	Choosing Search Heuristics by Non-Stationary Reinforcement Learning [My Copy] In Metaheuristics: Computer Decision-Making, Vol. 2003 (2001), pp. 523-544. by Alexander N. Gmd, Alexander Nareyek posted to reinforcement_learning by naveer on 2009-09-16 16:44:49 as
	Reinforcement Learning: A Survey [My Copy] Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 237-285. by Leslie P. Kaelbling, Michael L. Littman, Andrew P. Moore posted to reinforcement_learning by naveer on 2009-09-16 14:54:16 as along with 25 people and 5 groups merdem aristodemos truonghuy yarapavan KurtSteinkraus eldan unnonouno dep vaasu cyph3r davidmihalcik craigtalbert damcci hllee lop afoerster gagliol sugarexpletive mzygmunt dowlingj josepe docB bach tdahl Tominator Glimcher_Lab Netmob P2P SensorNetworks kickOffTUG-Robocup
	Text retrieval with more realistic concept matching and reinforcement learning [My Copy] Information Processing & Management, Vol. 42, No. 5. (September 2006), pp. 1260-1275. by R. Rajapakse, M. Denham posted to retrieval reinforcement_learning reinforcement ir information concept by katja on 2009-09-04 15:26:01 as along with 1 person suneilmohan
	Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10. (2005), pp. 1536-1551. by Peng Y. Yin, Bir Bhanu, Kuang C. Chang, Anlei Dong posted to retrieval relevance reinforcement_learning reinforcement information image feedback by katja on 2009-09-04 15:23:07 as along with 2 people romeroandres katherinerozo
	PERSONALIZED WEB-DOCUMENT FILTERING USING REINFORCEMENT LEARNING [My Copy] Applied Artificial Intelligence (August 2001), pp. 665-685. by T. Zhang b-, W. Seo y- posted to user study retrieval reinforcement_learning reinforcement recommendation information by katja on 2009-09-04 15:22:00 as
	A reinforcement learning agent for personalized information filtering [My Copy] In IUI '00: Proceedings of the 5th international conference on Intelligent user interfaces (2000), pp. 248-251. by Young W. Seo, Byoung T. Zhang posted to user relevance_feedback relevance reinforcement_learning reinforcement learning ir information filtering by katja on 2009-09-04 15:15:46 as along with 1 person and 1 group anna_riccioni Adaptive-Web
	Stochastic Collusion and the Power Law of Learning: A General Reinforcement Learning Model of Cooperation [My Copy] Journal of Conflict Resolution, Vol. 46, No. 5. (1 October 2002), pp. 629-653. by Andreas Flache, Michael W. Macy posted to reinforcement_learning cooperation by neopapers on 2009-08-25 15:45:51 as along with 1 person spool
	Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching [My Copy] Advances in Artificial Life (2001), pp. 252-261. by Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin posted to uncertainty temporal_discounting risk_aversion reinforcement_learning best by TrustDelay on 2009-08-12 00:08:51 as
	Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints [My Copy] PLoS Comput Biol, Vol. 2, No. 11. (10 November 2006), e152. by N. Schweighofer, K. Shishida, C. E. Han, et al.Y. Okamoto, S. C. Tanaka, S. Yamawaki, K. Doya posted to reinforcement_learning hyperbolic exponential discounting adaptation by TrustDelay on 2009-08-11 23:37:58 as along with 2 people and 1 group klouie dep Glimcher_Lab
	Short-Term Temporal Discounting of Reward Value in Human Ventral Striatum [My Copy] J Neurophysiol, Vol. 101, No. 3. (1 March 2009), pp. 1507-1523. by Lucy Gregorios-Pippas, Philippe N. Tobler, Wolfram Schultz posted to ventral_striatum time temporal_discounting striatum reinforcement_learning by TrustDelay on 2009-08-11 23:28:55 as along with 1 person klouie
	Synchronization of midbrain dopaminergic neurons is enhanced by rewarding events. [My Copy] Neuron, Vol. 62, No. 5. (11 June 2009), pp. 695-704. by Mati Joshua, Avital Adler, Yifat Prut, Eilon Vaadia, Jeffery R. Wickens, Hagai Bergman posted to basal_ganglia classical_conditioning dopamine monkey neurophysiology reinforcement_learning reward synchrony by klouie on 2009-08-10 15:09:04 as along with 1 person nishiokov
	Two types of dopamine neuron distinctly convey positive and negative motivational signals. [My Copy] Nature, Vol. 459, No. 7248. (11 June 2009), pp. 837-841. by Masayuki Matsumoto, Okihide Hikosaka posted to dopamine electrophysiology macaque midbrain motivation neural_coding reinforcement_learning reward by flieder on 2009-08-10 12:51:07 as along with 8 people nishiokov jerlich npl yeastphd bangyuzhou klouie sschafer nelmor
	Complementary roles of basal ganglia and cerebellum in learning and motor control [My Copy] Current Opinion in Neurobiology, Vol. 10, No. 6. (1 December 2000), pp. 732-739. by K. Doya posted to basal_ganglia cerebellum computational_neuroscience cortex learning motor reinforcement_learning supervised_learning unsupervised_learning by flieder on 2009-08-06 21:49:50 as
	A Model of Reaching that Integrates Reinforcement Learning and Population Encoding of Postures [My Copy] From Animals to Animats 9 (2006), pp. 381-393. by Dimitri Ognibene, Angelo Rega, Gianluca Baldassarre posted to reinforcement_learning population_code motor_output model kohonen_network actor_critic by BBoyButzemann on 2009-07-09 08:55:40 as
	Mind Model Seems Necessary for the Emergence of Communication [My Copy] Neural Information Processing - Letters and Reviews, Vol. 11, No. 4-6. (2007), pp. 109-121. by A. Lorincz, V. Gyenes, M. Kiszlinger, I. Szita posted to communication modeling reinforcement_learning simulation theory_of_mind by garyfeng on 2009-05-21 22:27:23 as along with 1 person and 1 group mtkn ReadingLab
	Choosing the greater of two goods: neural currencies for valuation and decision making [My Copy] Nature Reviews Neuroscience, Vol. 6, No. 5. (01 May 2005), pp. 363-375. by Leo P. Sugrue, Greg S. Corrado, William T. Newsome posted to decision reinforcement_learning by BBoyButzemann on 2009-05-15 10:59:41 as along with 9 people and 2 groups nelmor bangyuzhou sschafer klouie stefanherzog sbarthelme psimen suizan zhenbo_cheng Glimcher_Lab ACS-Basel
	Choosing Search Heuristics by Non-Stationary Reinforcement Learning [My Copy] by Alexander Nareyek posted to algorithm_selection heuristic_search heuristic_selection reinforcement_learning by bsilverthorn on 2009-05-08 20:11:56 as
	Optimal decision making and the anterior cingulate cortex [My Copy] Nature Neuroscience, Vol. 9, No. 7. (18 June 2006), pp. 940-947. by Steven W. Kennerley, Mark E. Walton, Timothy E. J. Behrens, Mark J. Buckley, Matthew F. S. Rushworth posted to acc decision_making lesion reinforcement_learning value by as3171 on 2009-05-06 16:33:40 as along with 4 people flieder memphisphil paulclinger awooga
	Integrated Bayesian models of learning and decision making for saccadic eye movements☆ [My Copy] Neural Networks, Vol. 21, No. 9. (November 2008), pp. 1247-1260. by K. Brodersen, W. Penny, L. Harrison, et al.J. Daunizeau, C. Ruff, E. Duzel, K. Friston, K. Stephan posted to bayesian decision_making eye-movement modeling reinforcement_learning saccade by garyfeng to the group ReadingLab on 2009-05-03 06:52:26 as along with 2 people katescronin fbarcelo
	Decision theory, reinforcement learning, and the brain. [My Copy] Cognitive, affective & behavioral neuroscience, Vol. 8, No. 4. (December 2008), pp. 429-453. by P. Dayan, N. D. Daw posted to bayesian brain decision_making reinforcement_learning review by garyfeng to the group ReadingLab on 2009-05-03 06:51:25 as
	Multi-layered learning systems for vision-based behavior acquisition of a real mobile robot [My Copy] SICE 2003 Annual Conference In SICE 2003 Annual Conference, Vol. 3 (2003), pp. 2300-2305 Vol.3. by Y. Takahashi, M. Asada posted to many_layered_learning reinforcement_learning by jrcoffi on 2009-03-20 15:43:11 as
	Prospective and retrospective temporal difference learning [My Copy] Network: Computation in Neural Systems, Vol. 20, No. 1. (2009), pp. 32-46. by Peter Dayan posted to computational_model discounting reinforcement_learning by klouie on 2009-03-17 22:37:25 as
	Human Substantia Nigra Neurons Encode Unexpected Financial Rewards [My Copy] Science, Vol. 323, No. 5920. (13 March 2009), pp. 1496-1499. by Kareem A. Zaghloul, Justin A. Blanco, Christoph T. Weidemann, et al.Kathryn Mcgill, Jurg L. Jaggi, Gordon H. Baltuch, Michael J. Kahana posted to electrophysiology human learning reinforcement_learning snr by klouie on 2009-03-17 22:09:24 as along with 1 person tyrell_turing
	Selective Reinforcement Learning Deficits in Schizophrenia Support Predictions from Computational Models of Striatal-Cortical Dysfunction [My Copy] Biological Psychiatry, Vol. 62, No. 7. (01 October 2007), pp. 756-764. by J. Waltz, M. Frank, B. Robinson, J. Gold posted to reinforcement_learning schizophrenia by flieder on 2009-03-16 19:55:27 as
	LETTER Communicated by Andrew Barto Multiple Model-Based Reinforcement Learning [My Copy] by Kenji Doya, Kazuyuki Samejima, Ken-Ichi Katagiri, Mitsuo Kawato posted to modular reinforcement_learning by cez_etc on 2009-03-15 17:58:05 as along with 1 person rockelegancy
	Dopamine neurons report an error in the temporal prediction of reward during learning. [My Copy] Nature neuroscience, Vol. 1, No. 4. (August 1998), pp. 304-309. by J. R. Hollerman, W. Schultz posted to reinforcement_learning by ngoncalves on 2009-03-05 12:13:31 as along with 1 person sschafer
	Learning for control from multiple demonstrations [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 144-151. by Adam Coates, Pieter Abbeel, Andrew Y. Ng posted to mobile_robotics reinforcement_learning by ngoncalves on 2009-03-05 12:08:33 as along with 2 people akavipat abachrac
	Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) [My Copy] (08 March 1998) by Richard S. Sutton, Andrew G. Barto posted to markov_decision_process reinforcement_learning by ngoncalves on 2009-03-05 09:10:22 as along with 26 people and 3 groups nico_trompiste dowlingj cez_etc ddahlem pshenoy yarapavan robotact brian jerlich klouie oamg anoopsarkar creswick kmregan garyfeng mrkrause stain gonium nelmor awooga mzygmunt mak bsilverthorn tdahl fbernardo lrozo LTN Glimcher_Lab ReadingLab
	Basal Ganglia orient eyes to reward. [My Copy] J Neurophysiol, Vol. 95, No. 2. (February 2006), pp. 567-584. by O. Hikosaka, K. Nakamura, H. Nakahara posted to brain eye-movement neurology reinforcement_learning saccade by garyfeng to the group ReadingLab on 2009-03-04 23:00:24 as along with 6 people and 1 group sschafer brian klouie mrkrause josepe rcoreilly Glimcher_Lab
	Practical Reinforcement Learning in Continuous Spaces [My Copy] In Proc. 17th International Conf. on Machine Learning (2000), pp. 903-910. by William D. Smart, Leslie P. Kaelbling posted to reinforcement_learning by cez_etc on 2009-02-24 19:00:28 as along with 1 person shibu184

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