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Tag reinforcement-learning [173 articles]

Recent papers classified by the tag reinforcement-learning.
  • Keepaway Soccer: From Machine Learning Testbed to Benchmark
    RoboCup 2005: Robot Soccer World Cup IX (2006), pp. 93-105.
    by Peter Stone, Gregory Kuhlmann, Matthew Taylor, Yaxin Liu
    posted to reinforcement-learning by tsoumakas on 2008-10-11 08:30:33 as **
  • Keepaway Soccer: A Machine Learning Test bed
    RoboCup 2001: Robot Soccer World Cup V (2002), pp. 207-237.
    by Peter Stone, Richard Sutton
    posted to reinforcement-learning by tsoumakas on 2008-10-11 08:32:54 as **
  • Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies
    IEEE Internet Computing, Vol. 11, No. 1. (2007), pp. 22-30.
    by G Tesauro
    posted to autonomic-computing reinforcement-learning by sverker on 2007-02-01 14:15:04 as read along with 3 people ddahlem dowlingj ingstrup
  • The primate amygdala represents the positive and negative value of visual stimuli during learning
    Nature, Vol. 439, No. 7078. (16 February 2006), pp. 865-870.
    by Joseph J Paton, Marina A Belova, Sara E Morrison, Daniel C Salzman
    posted to amygdala monkeys neuroscience punishment reinforcement reinforcement-learning reward by stefanherzog on 2006-03-17 10:48:22 as ** along with 5 people and 2 groups npl brian klouie torfis nelmor Glimcher_Lab ACS-Basel
  • Network formation by reinforcement learning: the long and medium run
    (5 April 2004)
    by Robin Pemantle, Brian Skyrms
    posted to networks reinforcement-learning by Scis0000002 on 2008-01-20 01:33:43 as ** along with 1 person and 2 groups korakot Philosophy_of_Information Blog_and_Wiki_Research
  • Reinforcement Learning in Computational Finance
    by Yazann Romahi
    posted to reinforcement-learning by Scis0000002 on 2008-02-01 01:17:01 as **
  • Learning to trade via direct reinforcement
    IEEE-NN, Vol. 12 (July 2001), pp. 875-889.
    by J Moody, M Saffell
    posted to computational-trading reinforcement-learning by Scis0000002 on 2008-01-04 10:29:18 as **
  • Reinforcement learning in non-Markov environments
    (1994)
    by S Whitehead, L Lin
    posted to markovity nonmarkovity reinforcement-learning by Scis0000002 on 2007-12-18 22:38:01 as **
  • Journal of Artificial Intelligence Research 15 (2001) 319-350 Submitted 9/00; published 11/01 Infinite-Horizon Policy-Gradient Estimation
    by Jonathan B Jbaxter
    posted to reinforcement-learning by Scis0000002 on 2007-06-21 15:02:16 as **
  • Constructive Reinforcement Learning
    by Jose H Orallo
    posted to constructive reinforcement-learning by Scis0000002 on 2007-07-06 09:58:29 as **
  • Complex Behavior Specification for Autonomous Systems
    (1992), pp. 170-177.
    by J Malec
    posted to autonomous-systems behavior developmental-robotics normative-systems regulative-systems reinforcement-learning specification by Scis0000002 on 2007-06-21 14:36:48 as **
  • On Using Guidance in Relational Reinforcement Learning
    by Kurt Driessens, Saso Dzeroski
    posted to reinforcement-learning by Scis0000002 on 2007-11-28 14:02:24 as **
  • Integrating experimentation and guidance in relational reinforcement learning
    (2002)
    by K Driessens, S Dzeroski
    posted to reinforcement-learning by Scis0000002 on 2007-11-28 13:55:11 as **
  • Learning to trade via direct reinforcement
    Neural Networks, IEEE Transactions on, Vol. 12, No. 4. (2001), pp. 875-889.
    by J Moody, M Saffell
    posted to reinforcement-learning by Scis0000002 on 2008-01-18 23:32:42 as ** along with 2 people chaikorn ingstrup
  • Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
    Artificial Intelligence, Vol. 112, No. 1-2. (1999), pp. 181-211.
    by Richard S Sutton, Doina Precup, Satinder P Singh
    posted to reinforcement-learning by Scis0000002 on 2008-01-20 02:22:54 as ** along with 2 people metropol cijat
  • A Reinforcement Learning Algorithm based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis
    by Abhijit Gosavi
    posted to reinforcement-learning by Scis0000002 on 2007-06-21 15:02:36 as **
  • Quantum Reinforcement Learning
    Advances in Natural Computation (2005), pp. 686-689.
    by Daoyi Dong, Chunlin Chen, Zonghai Chen
    posted to quantum-computability-logic quantum-computational-intelligence quantum-games quantum-reinforcement-learning quantum-strategies reinforcement-learning by Scis0000002 on 2008-01-04 14:09:21 as **
  • Reinforcement learning for optimized trade execution
    (2006), pp. 673-680.
    by Yuriy Nevmyvaka, Yi Feng, Michael Kearns
    posted to execution reinforcement-learning trading by scis0000001 on 2007-03-31 00:09:09 as ** along with 1 person jdleesmiller
  • A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
    Autonomic Computing, 2006. ICAC '06. IEEE International Conference on (2006), pp. 65-73.
    by G Tesauro, NK Jong, R Das, MN Bennani
    posted to reinforcement-learning resource-allocation by scis0000001 on 2007-02-18 13:49:53 as ** along with 2 people ddahlem japarejo
  • Operant conditioning in skinnerbots
    Adaptive Behavior, Vol. 5, No. 3/4. (1997), pp. 219-247.
    by D Touretzky, L Saksida
    posted to conditioning reinforcement-learning by scis0000001 on 2007-04-29 18:23:59 as **
  • Reinforcement Learning in Computational Finance
    by Yazann Romahi
    posted to computational-finance computational-learning machine-learning reinforcement-learning by scis0000001 on 2007-02-18 13:46:48 as **
  • Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements
    (27 Dec 2004)
    by Juergen Schmidhuber
    posted to adaptability aixi all-logical-theories atp autonomic-computing bias biops chu-space computability-logic computational-epistemology computational-learning computational-mathematics computational-science domain-theory dynamics efficiency formal-development formal-system generalized-kolmogorov-complexity goedel-machine gtm iff inference inference-dynamics interactivity lattice-of-theories least-time machine-learning metaevolution metalogic-programming metalogics metascience model-selection oops optimality paraconsistency problem-solving proof-search reinforcement-learning resource-allocation robotics searching self-adaptation self-managing self-reference semweb speed-prior survivability temporal-logic universal-search universality utility by scis0000001 on 2006-09-15 14:13:48 as ** along with 1 person Scis0000002
  • Hierarchical reinforcement learning based on subgoal discovery and subpolicy specialization: First experiments with the HASSLE algorithm
    (2003)
    by B Bakker, J Schmidhuber
    posted to hierarchical reinforcement-learning by scis0000001 on 2007-03-30 01:34:21 as ** along with 1 person tdahl
  • Universal Reinforcement Learning
    (20 Jul 2007)
    by Vivek F Farias, Ciamac C Moallemi, Tsachy Weissman, Benjamin Van Roy
    posted to reinforcement-learning by sato-ryu on 2007-07-23 05:47:29 as ** along with 2 people and 1 group garyfeng ded_maxim ReadingLab
  • Reinforcement Learning with Linear Function Approximation and LQ control Converges
    (9 Mar 2007)
    by Istvan Szita, Andras Lorincz
    posted to reinforcement-learning by sato-ryu on 2007-03-14 08:19:05 as **
  • Neural reinforcement learning for an obstacle avoidance behavior
    (1996), pp. 6/1-3.
    by C Touzet
    posted to reinforcement-learning by sato-ryu on 2007-06-03 16:13:29 as **
  • Function optimization using connectionist reinforcement learning algorithms
    Connection Science, Vol. 3 (1991), pp. 241-268.
    by R Williams, J Peng
    posted to machine-learning numerical-analysis optimization policy-search reinforcement-learning by rpadams on 2006-03-16 09:21:28 as **
  • A Bayesian Framework for Reinforcement Learning
    (2000), pp. 943-950.
    by Malcolm Strens
    posted to reinforcement-learning by rpadams on 2005-06-16 14:09:54 as **** along with 4 people and 1 group garyfeng ddahlem gonium vlachmore ReadingLab
  • Reinforcement Learning for Operational Space Control
    Robotics and Automation, 2007 IEEE International Conference on (2007), pp. 2111-2116.
    by J Peters, S Schaal
    posted to reinforcement-learning optimal-control by rockelegancy on 2008-09-29 13:33:12 as *****
  • Using Reward-weighted Regression for Reinforcement Learning of Task Space Control
    Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on (2007), pp. 262-267.
    by J Peters, S Schaal
    posted to reinforcement-learning optimal-control by rockelegancy on 2008-09-29 13:38:00 as read
  • Learning to Control in Operational Space
    The International Journal of Robotics Research, Vol. 27, No. 2. (1 February 2008), pp. 197-212.
    by Jan Peters, Stefan Schaal
    posted to reinforcement-learning optimal-control by rockelegancy on 2008-09-29 13:23:18 as ***** along with 1 person chris_towell
  • notes Learning in Multi-Robot Systems
    (1996), pp. 152-163.
    by Maja J Mataric
    edited by Gerhard Wei\ss, Sandip Sen
    posted to machine-learning multi-agent-systems reinforcement-learning by pthimon on 2007-08-01 15:43:20 as **
  • Learning to Cooperate via Policy Search
    (2000), pp. 307-314.
    by Leonid Peshkin, Kee E Kim, Nicolas Meuleau, Leslie P Kaelbling
    posted to consensus coordination reinforcement-learning by pthimon on 2007-10-29 18:04:48 as **
  • Geodesic Gaussian kernels for value function approximation
    Autonomous Robots
    by Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar
    posted to classification gaussian-mixture machine-learning markov navigation optimization path reinforcement-learning robot by nojhan on 2008-07-11 14:37:12 as ***** along with 1 group Optimization
  • Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot
    Advances in Artificial Life (2007), pp. 294-303.
    by Massimiliano Schembri, Marco Mirolli, Gianluca Baldassarre
    posted to evolutionary-computation genetic-algorithm machine-learning metaheuristic neural-network reinforcement-learning robot by nojhan on 2007-09-05 15:12:14 as ** along with 3 groups EvolutionaryComputation Metaheuristics Optimization
  • Dopamine neurons encode the better option in rats deciding between differently delayed or sized rewards
    Nature Neuroscience, Vol. 10, No. 12. (18 November 2007), pp. 1615-1624.
    by Matthew R Roesch, Donna J Calu, Geoffrey Schoenbaum
    posted to decision dopamine physiology rats reinforcement-learning vta by nelmor on 2007-11-29 11:22:30 as ** along with 5 people and 1 group npl ingie davclark awooga xjing UC Berkeley Spring 2008 Cog Neuro Readings
  • Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
    Nature Neuroscience, Vol. 8, No. 12. (06 November 2005), pp. 1704-1711.
    by Nathaniel D Daw, Yael Niv, Peter Dayan
    posted to decision model pfc reinforcement-learning striatum by nelmor on 2007-07-04 13:57:02 as read along with 6 people and 1 group oamg memphisphil josepe codonn bach AlainDutech Glimcher_Lab
  • A computational substrate for incentive salience.
    Trends Neurosci, Vol. 26, No. 8. (August 2003), pp. 423-428.
    by SM McClure, ND Daw, PR Montague
    posted to reinforcement-learning td dopamine model by nelmor on 2006-08-23 14:04:56 as read along with 6 people and 3 groups klouie oamg stefanherzog Whyking toresk nishiokov Glimcher_Lab ACS-Basel Computational-Neurobiology
  • 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 decision games reinforcement-learning by nelmor on 2007-07-30 09:57:04 as ** along with 1 person brian
  • Tripartite Mechanism of Extinction Suggested by Dopamine Neuron Activity and Temporal Difference Model
    J. Neurosci., Vol. 28, No. 39. (24 September 2008), pp. 9619-9631.
    by Wei-Xing Pan, Robert Schmidt, Jeffery R Wickens, Brian I Hyland
    posted to td reinforcement-learning rats extinction dopamine by nelmor on 2008-09-25 11:08:11 as **
  • 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 monkeys reinforcement-learning td by nelmor on 2007-05-22 11:07:28 as ** along with 7 people and 4 groups nishiokov klouie stefanherzog benoithv krista stain sschafer Glimcher_Lab CLIC logical_cognition ACS-Basel
  • Functional organization of the medial frontal cortex.
    Curr Opin Neurobiol, Vol. 17, No. 2. (April 2007), pp. 220-227.
    by MF Rushworth, MJ Buckley, TE Behrens, ME Walton, DM Bannerman
    posted to cingulate decision pfc reinforcement-learning review by nelmor on 2007-06-08 09:06:04 as ** along with 1 person awooga
  • Computational roles for dopamine in behavioural control
    Nature, Vol. 431, No. 7010. (14 October 2004), pp. 760-767.
    by Read P Montague, Steven E Hyman, Jonathan D Cohen
    posted to action-selection dopamine reinforcement-learning review by nelmor on 2007-07-30 10:35:07 as ** along with 7 people and 1 group brian oamg bayesian makimaki josepe nishiokov shoshin Glimcher_Lab
  • Temporal Filtering of Reward Signals in the Dorsal Anterior Cingulate Cortex during a Mixed-Strategy Game
    J. Neurosci., Vol. 27, No. 31. (1 August 2007), pp. 8366-8377.
    by Hyojung Seo, Daeyeol Lee
    posted to decision reinforcement-learning reward risk by nelmor on 2007-08-03 10:47:08 as **
  • 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 decision dopamine reinforcement-learning td by nelmor on 2006-08-23 14:08:27 as read along with 5 people and 2 groups brian klouie Whyking zhenbo_cheng sschafer Glimcher_Lab Computational-Neurobiology
  • notes Representation of action-specific reward values in the striatum.
    Science, Vol. 310, No. 5752. (25 November 2005), pp. 1337-1340.
    by K Samejima, Y Ueda, K Doya, M Kimura
    posted to action-selection monkeys reinforcement-learning striatum value by nelmor on 2007-07-30 10:18:55 as ** along with 6 people and 1 group brian klouie dep mrkrause stain u-4 Glimcher_Lab
  • The computational neurobiology of learning and reward
    Current Opinion in Neurobiology, Vol. 16, No. 2. (April 2006), pp. 199-204.
    by Nathaniel D Daw, Kenji Doya
    posted to learning model reinforcement-learning reward by nelmor on 2007-07-09 12:47:24 as read along with 2 people and 1 group oamg awooga Glimcher_Lab
  • Solving the Distal Reward Problem through Linkage of STDP and Dopamine Signaling.
    Cereb Cortex (13 January 2007)
    by Eugene M M Izhikevich
    posted to dopamine model reinforcement-learning reward stdp by nelmor on 2008-01-15 11:51:08 as ** along with 5 people and 2 groups klouie awooga dowlingj bmcwilliams rflorian Glimcher_Lab Coneural
  • Glutamatergic activation of anterior cingulate cortex produces an aversive teaching signal
    Nat Neurosci, Vol. 7, No. 4. (April 2004), pp. 398-403.
    by Joshua P Johansen, Howard L Fields
    posted to aversive cingulate reinforcement-learning by nelmor on 2007-06-12 14:24:10 as **
  • Reinforcement learning signals predict future decisions.
    J Neurosci, Vol. 27, No. 2. (10 January 2007), pp. 371-378.
    by MX Cohen, C Ranganath
    posted to decision eeg games human reinforcement-learning by nelmor on 2007-07-30 10:51:55 as ** along with 3 people and 2 groups oamg garyfeng Vezhnick Glimcher_Lab ReadingLab
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