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所有的文献@标签 reinforcementlearning [66 articles]

当前文献的标签分类为: reinforcementlearning.
  • Midbrain dopamine neurons encode decisions for future action
    Nature Neuroscience, Vol. 9, No. 8. (23 July 2006), pp. 1057-1063.
    by Genela Morris, Alon Nevet, David Arkadir, Eilon Vaadia, Hagai Bergman
    posted to choice dopamine electrophysiology reinforcementlearning td by sschafer on 2007-04-20 16:09:59 as read along with 5 people and 2 groups brian klouie Whyking nelmor zhenbo_cheng Glimcher_Lab Computational-Neurobiology
  • Midbrain dopamine neurons encode a quantitative reward prediction error signal.
    Neuron, Vol. 47, No. 1. (7 July 2005), pp. 129-141.
    by HM Bayer, PW Glimcher
    posted to dopamine reinforcementlearning by sschafer on 2007-04-20 16:39:33 as read along with 7 people and 4 groups nishiokov klouie stefanherzog benoithv krista stain nelmor Glimcher_Lab CLIC logical_cognition ACS-Basel
  • Multi-agent reinforcement learning: a critical survey
    (2003)
    by Y Shoham, R Powers, T Grenager
    posted to reinforcementlearning multiagent by mangesh on 2007-02-02 15:54:41 as read along with 4 people ddahlem dowlingj arturo_servin yarapavan
  • Multiagent reinforcement learning: theoretical framework and an algorithm
    (1998), pp. 242-250.
    by Junling Hu, Michael P Wellman
    posted to reinforcementlearning nashequilibrium games by mangesh on 2007-02-02 15:54:10 as ***
  • Technical Note: Q-Learning
    Machine Learning, Vol. V8, No. 3. (1 May 1992), pp. 279-292.
    by Christopher JCH Watkins, Peter Dayan
    posted to reinforcementlearning pad by mangesh on 2007-02-02 18:27:24 as read along with 2 people ddahlem Bc91
  • Machine Learning
    (01 March 1997)
    by Tom M Mitchell
    posted to reinforcementlearning learningbydemonstration learningalgorithms by lrozo on 2008-09-01 19:27:36 as ** along with 24 people and 3 groups misovalko harperf pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick zchen teesid dquercia robotact jdu sfeige bundschu markusd AI RiSE contact-id
  • Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
    (01 March 1998)
    by Richard S Sutton, Andrew G Barto
    posted to reinforcementlearning by lrozo on 2008-08-31 14:32:06 as ** along with 18 people and 2 groups jerlich klouie oamg anoopsarkar creswick kmregan garyfeng mrkrause stain gonium nelmor awooga mzygmunt mak bsilverthorn robotact tdahl fbernardo Glimcher_Lab ReadingLab
  • Imitative Reinforcement Learning for Soccer Playing Robots
    RoboCup 2006: Robot Soccer World Cup X (2007), pp. 47-58.
    by Tobias Latzke, Sven Behnke, Maren Bennewitz
    posted to reinforcementlearning learningapplications imitationlearning by lrozo on 2008-09-09 11:38:08 as **
  • Reinforcement Learning: A Survey
    Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 237-285.
    by Leslie P Kaelbling, Michael L Littman, Andrew P Moore
    posted to 1995 ai learning reinforcementlearning by davidmihalcik on 2006-08-14 14:55:52 as read along with 20 people and 5 groups KurtSteinkraus eldan unnonouno dep vaasu cyph3r craigtalbert damcci hllee lop afoerster gagliol sugarexpletive mzygmunt dowlingj josepe docB bach tdahl Tominator Glimcher_Lab Netmob P2P SensorNetworks kickOffTUG-Robocup
  • Dopamine-dependent plasticity of corticostriatal synapses.
    Neural Netw, Vol. 15, No. 4-6. (l 2002), pp. 507-521.
    by JN Reynolds, JR Wickens
    posted to dopamine plasticity reinforcementlearning review striatum by brian on 2005-02-08 05:10:30 as read along with 3 people balicea makimaki mura
  • Learning Behavior in an Experimental Matching Pennies Game
    Games and Economic Behavior, Vol. 7, No. 1. (July 1994), pp. 62-91.
    by Mookherjee Dilip, Sopher Barry
    posted to gametheory human logistic logit pastchoices recency reinforcementlearning by brian on 2005-10-17 03:52:50 as **
  • How the basal ganglia use parallel excitatory and inhibitory learning pathways to selectively respond to unexpected rewarding cues.
    J Neurosci, Vol. 19, No. 23. (1 December 1999), pp. 10502-10511.
    by J Brown, D Bullock, S Grossberg
    posted to actorcritic basalganglia dopamine model pptn reinforcementlearning td by brian on 2006-11-27 19:41:12 as **
  • Hold Your Horses: Impulsivity, Deep Brain Stimulation, and Medication in Parkinsonism
    Science (25 October 2007), 1146157.
    by Michael J Frank, Johan Samanta, Ahmed A Moustafa, Scott J Sherman
    posted to conflict dbs dopamine parkinsons reinforcementlearning stn by brian on 2007-11-20 16:59:27 as ** along with 4 people klouie nelmor davidlott quianominorleo
  • PVLV: the primary value and learned value Pavlovian learning algorithm.
    Behav Neurosci, Vol. 121, No. 1. (February 2007), pp. 31-49.
    by RC O'Reilly, MJ Frank, TE Hazy, B Watz
    posted to dopamine model pavlovian reinforcementlearning by brian on 2007-11-15 14:13:58 as ** along with 1 person and 2 groups alterego ReachGrasp Computational Cognitive Neuroscience Lab
  • Network formation by reinforcement learning: the long and medium run
    (2003)
    by R Pemantle, B Skyrms
    posted to reinforcementlearning by brian on 2005-02-21 05:35:06 as **
  • Functional differences between macaque prefrontal cortex and caudate nucleus during eye movements with and without reward.
    Exp Brain Res (9 August 2006)
    by Shunsuke Kobayashi, Reiko Kawagoe, Yoriko Takikawa, Masashi Koizumi, Masamichi Sakagami, Okihide Hikosaka
    posted to 1dr actionvalue caudate chosenvalue dlpfc monkey prefrontal reinforcementlearning reward striatum value by brian on 2006-10-10 19:30:47 as ** along with 1 person as3171
  • Markov Games as a Framework for Multi-Agent Reinforcement Learning
    (1994), pp. 157-163.
    by Michael L Littman
    posted to gametheory reinforcementlearning by brian on 2005-02-01 18:00:34 as read along with 4 people and 1 group ognibened garyfeng Sergi cblock ReadingLab
  • Model-based fMRI and its application to reward-learning and decision making.
    Ann N Y Acad Sci (7 April 2007)
    by John Philip P O'doherty, Alan N N Hampton, Hackjin Kim
    posted to decisionmaking fmri reinforcementlearning by brian on 2007-04-29 01:17:10 as ** along with 3 people and 3 groups oamg suizan kaniko Glimcher_Lab Functional_Imaging Neuroscience
  • Intracranial Reinforcement Compared with Sugar-Water Reinforcement
    by William E Gibson, Larry D Reid, Makoto Sakai, Paul B Porter
    posted to reinforcementlearning by brian on 2005-02-08 00:51:56 as **
  • Haloperidol, dynamics of choice, and the parameters of the matching law.
    Behav Processes (3 March 2007)
    by Carlos F F Aparicio
    posted to dopamine haloperidol matchinglaw neuroleptics reinforcementlearning by brian on 2007-04-21 16:32:07 as ** along with 2 people and 1 group sschafer s_shawCNS Glimcher_Lab
  • Generality, repetition, and the role of descriptive learning models
    Journal of Mathematical Psychology, Vol. 49, No. 5. (October 2005), pp. 357-371.
    by Ido Erev, Ernan Haruvy
    posted to gametheory human inertia modeldiagnostics modelselection pastchoices recency reinforcementlearning by brian on 2005-10-11 16:13:40 as ** along with 1 person and 2 groups A_Olympia Philosophy_of_Information Blog_and_Wiki_Research
  • Reinforcement learning and decision making in monkeys during a competitive game
    Cognitive Brain Research, Vol. 22, No. 1. (December 2004), pp. 45-58.
    by Daeyeol Lee, Michelle L Conroy, Benjamin P Mcgreevy, Dominic J Barraclough
    posted to decisionmaking gametheory pastchoices recency reinforcementlearning by brian on 2005-02-01 18:09:16 as read along with 1 person nelmor
  • By carrot or by stick: cognitive reinforcement learning in parkinsonism.
    Science, Vol. 306, No. 5703. (10 December 2004), pp. 1940-1943.
    by MJ Frank, LC Seeberger, RC O'reilly
    posted to aversive dopamine learning loss parkinsons reinforcement reinforcementlearning reward by brian on 2007-03-03 22:22:49 as ** along with 3 people and 1 group klouie Whyking mattions Computational-Neurobiology
  • Automata, matching and foraging behavior of bees
    Journal of Theoretical Biology, Vol. 175, No. 3. (07 August 1995), pp. 305-316.
    by F Thuijsman, B Peleg, M Amitai, A Shmida
    posted to foragingtheory reinforcementlearning by brian on 2005-02-08 01:33:21 as ** along with 3 people and 2 groups palakorn dep soramame_0518 Drexel-HCI Drexel-eVoting
  • Reward, motivation, and reinforcement learning.
    Neuron, Vol. 36, No. 2. (10 October 2002), pp. 285-298.
    by P Dayan, BW Balleine
    posted to instrumental motivation pavlovian reinforcementlearning td-model by brian on 2007-11-21 16:05:03 as ** along with 3 people and 2 groups oamg stefanherzog awooga Glimcher_Lab ACS-Basel
  • A re-examination of probability matching and rational choice
    Journal of Behavioral Decision Making, Vol. 15, No. 3. (18 March 2002), pp. 233-250.
    by David R Shanks, Richard J Tunney, John D Mccarthy
    posted to choice human learning maximization probabilitymatching reinforcementlearning reward by brian on 2005-10-16 17:53:43 as ** along with 3 people and 1 group garyfeng dep nelmor ReadingLab
  • Temporal difference models describe higher-order learning in humans.
    Nature, Vol. 429, No. 6992. (10 June 2004), pp. 664-667.
    by B Seymour, JP O'Doherty, P Dayan, M Koltzenburg, AK Jones, RJ Dolan, KJ Friston, RS Frackowiak
    posted to aversive fmri hmm markov pain reinforcementlearning rpe by brian on 2006-05-30 19:23:54 as **
  • Single dose of a dopamine agonist impairs reinforcement learning in humans: Behavioral evidence from a laboratory-based measure of reward responsiveness.
    Psychopharmacology (Berl) (2 October 2007)
    by Diego A Pizzagalli, A E Evins, Erika C Schetter, Michael J Frank, Petra E Pajtas, Diane L Santesso, Melissa Culhane
    posted to dopamine parkinsons reinforcementlearning by brian on 2008-01-14 17:43:28 as ** along with 1 person balicea
  • The Process of Recurrent Choice
    Psychological Review, Vol. 100, No. 2. (April 1993), pp. 320-341.
    by D Davis, J Staddon, A Machado, R Palmer
    posted to matchinglaw reinforcementlearning by brian on 2005-02-08 01:36:17 as read along with 1 person and 1 group garyfeng ReadingLab
  • The misbehavior of value and the discipline of the will.
    Neural Netw, Vol. 19, No. 8. (October 2006), pp. 1153-1160.
    by P Dayan, Y Niv, B Seymour, ND Daw
    posted to classical conditioning instrumental operant pavlovian reinforcementlearning td by brian on 2007-11-16 14:13:09 as ** along with 1 person awooga
  • Learning in spiking neural networks by reinforcement of stochastic synaptic transmission.
    Neuron, Vol. 40, No. 6. (18 December 2003), pp. 1063-1073.
    by HS Seung
    posted to dopamine learningrule matchinglaw neuralnetwork reinforcementlearning reward synapse by brian on 2006-03-22 15:59:37 as ** along with 3 people and 1 group garyfeng balicea zhenbo_cheng ReadingLab
  • Learning to Predict by the Methods of Temporal Differences
    Machine Learning, Vol. 3 (1988), pp. 9-44.
    by Richard S Sutton
    posted to reinforcementlearning td by brian on 2005-02-01 18:01:15 as read along with 7 people and 5 groups qwermish oamg garyfeng dep pverstra gonium afoerster Glimcher_Lab ReadingLab macc SensorNetworks Computational Learning Theory
  • Effects of Magnitude of Reward and Percentage of Reinforcement on a Lever Movement Response
    Child Development, Vol. 35, No. 1. (1964), pp. 281-285.
    by James L Bruning
    posted to reinforcementlearning by brian on 2005-02-08 00:55:06 as ** along with 1 person dep
  • Learning of sequential movements by neural network model with dopamine-like reinforcement signal.
    Exp Brain Res, Vol. 121, No. 3. (August 1998), pp. 350-354.
    by RE Suri, W Schultz
    posted to dopamine models reinforcement reinforcementlearning sequencelearning by brian on 2006-01-24 19:14:30 as ** along with 2 people and 1 group garyfeng awooga ReadingLab
  • Addiction as a computational process gone awry.
    Science, Vol. 306, No. 5703. (10 December 2004), pp. 1944-1947.
    by AD Redish
    posted to addiction drugs reinforcementlearning td-model by brian on 2005-10-21 14:42:38 as ** along with 3 people and 1 group klouie krista nelmor Glimcher_Lab
  • Kalman filter control embedded into the reinforcement learning framework.
    Neural Comput, Vol. 16, No. 3. (March 2004), pp. 491-499.
    by I Szita, A Lorincz
    posted to kalmanfilter reinforcementlearning by brian on 2005-02-13 05:38:55 as **
  • Immediate changes in anticipatory activity of caudate neurons associated with reversal of position-reward contingency.
    J Neurophysiol, Vol. 94, No. 3. (September 2005), pp. 1879-1887.
    by K Watanabe, O Hikosaka
    posted to caudate conflict decisionmaking monkey pan precue reinforcementlearning reward striatum by brian on 2005-10-05 17:46:05 as **
  • A contribution of cognitive decision models to clinical assessment: decomposing performance on the Bechara gambling task.
    Psychol Assess, Vol. 14, No. 3. (September 2002), pp. 253-262.
    by JR Busemeyer, JC Stout
    posted to ewma gambling huntingtons parkinsons probabilitylearning reinforcementlearning by brian on 2005-10-17 15:58:40 as ** along with 1 person awarlau
  • Associative learning mediates dynamic shifts in dopamine signaling in the nucleus accumbens
    Nature Neuroscience, Vol. 10, No. 8. (01 July 2007), pp. 1020-1028.
    by Jeremy J Day, Mitchell F Roitman, Mark R Wightman, Regina M Carelli
    posted to dopamine rat reinforcementlearning td-model voltammetry by brian on 2007-10-25 23:09:54 as **
  • Evaluating the reliance on past choices in adaptive learning models
    Journal of Mathematical Psychology, Vol. 51, No. 2. (April 2007), pp. 75-84.
    by Eldad Yechiam, Eyal Ert
    posted to pastchoices reinforcementlearning by brian on 2007-11-01 17:01:23 as ** along with 2 people TheEru83 suizan
  • notes Coincident but distinct messages of midbrain dopamine and striatal tonically active neurons.
    Neuron, Vol. 43, No. 1. (8 July 2004), pp. 133-143.
    by G Morris, D Arkadir, A Nevet, E Vaadia, H Bergman
    posted to basalganglia dopamine monkey probability reinforcementlearning reward snc tan vta by brian on 2005-10-09 23:16:28 as ** along with 3 people and 1 group klouie oamg mistersheik Glimcher_Lab
  • Behavioral Choice and Social Reinforcement: Step Function Versus Matching
    Social Forces, Vol. 57, No. 4. (1979), pp. 1141-1156.
    by Robert L Hamblin
    posted to reinforcementlearning by brian on 2005-02-08 00:55:44 as ** along with 1 person dep
  • notes Dopamine cells respond to predicted events during classical conditioning: evidence for eligibility traces in the reward-learning network.
    J Neurosci, Vol. 25, No. 26. (29 June 2005), pp. 6235-6242.
    by WX Pan, R Schmidt, JR Wickens, BI Hyland
    posted to dopamine eligibilitytrace rat reinforcementlearning td-model by brian on 2005-07-21 16:04:29 as ** along with 4 people and 1 group klouie dep stain zhenbo_cheng Glimcher_Lab
  • Reward or reinforcement: what's the difference?
    Neurosci Biobehav Rev, Vol. 13, No. 2-3. (l 1989), pp. 181-186.
    by NM White
    posted to learning psychology reinforcement reinforcementlearning reward striatum terminology by brian on 2007-02-24 16:43:47 as ** along with 4 people and 1 group oamg dep nelmor mistersheik Glimcher_Lab
  • A unified model for perceptual learning
    Trends in Cognitive Sciences, Vol. In Press, Corrected Proof
    by Aaron Seitz, Takeo Watanabe
    posted to perceptuallearning reinforcementlearning review by brian on 2005-10-20 01:53:43 as ** along with 5 people and 2 groups garyfeng kechambers sbarthelme kira mdruker ReadingLab ur-cls
  • Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning
    Proceedings of the National Academy of Sciences, Vol. 104, No. 41. (9 October 2007), pp. 16311-16316.
    by Michael J Frank, Ahmed A Moustafa, Heather M Haughey, Tim Curran, Kent E Hutchison
    posted to dopamine genetics reinforcementlearning by brian on 2008-01-14 17:44:12 as ** along with 2 people and 1 group nelmor MWagner 801
  • The role of dopamine in cognitive sequence learning: evidence from Parkinson's disease.
    Behav Brain Res, Vol. 156, No. 2. (30 January 2005), pp. 191-199.
    by D Shohamy, CE Myers, S Grossman, J Sage, MA Gluck
    posted to dopamine learning mdp parkinsons reinforcementlearning sequencelearning by brian on 2006-01-24 22:17:39 as **
  • A more biologically plausible learning rule for neural networks.
    Proc Natl Acad Sci U S A, Vol. 88, No. 10. (15 May 1991), pp. 4433-4437.
    by P Mazzoni, RA Andersen, MI Jordan
    posted to learningrule neuralnetwork parietal punishment reinforcementlearning reward by brian on 2006-03-09 00:56:42 as ** along with 2 people and 1 group garyfeng seanlorenz ReadingLab
  • Functional magnetic resonance imaging of reward prediction.
    Curr Opin Neurol, Vol. 18, No. 4. (August 2005), pp. 411-417.
    by B Knutson, JC Cooper
    posted to fmri human reinforcementlearning review reward by brian on 2005-10-05 17:44:17 as **
  • A cellular mechanism of reward-related learning.
    Nature, Vol. 413, No. 6851. (6 September 2001), pp. 67-70.
    by JN Reynolds, BI Hyland, JR Wickens
    posted to corticostriatal dopamine plasticity rat reinforcementlearning striatum by brian on 2005-02-08 05:11:12 as read along with 4 people and 1 group klouie nelmor cursonivel1 mab2058 cursonivel1
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