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There are 13592 results for: content related to: Generalization of value in reinforcement learning by humans

  1. How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis

    European Journal of Neuroscience

    Volume 35, Issue 7, April 2012, Pages: 1024–1035, Anne G. E. Collins and Michael J. Frank

    Version of Record online : 4 APR 2012, DOI: 10.1111/j.1460-9568.2011.07980.x

  2. Dissociating hippocampal and striatal contributions to sequential prediction learning

    European Journal of Neuroscience

    Volume 35, Issue 7, April 2012, Pages: 1011–1023, Aaron M. Bornstein and Nathaniel D. Daw

    Version of Record online : 4 APR 2012, DOI: 10.1111/j.1460-9568.2011.07920.x

  3. Reinforcement Learning and Its Relationship to Supervised Learning

    Handbook of Learning and Approximate Dynamic Programming

    Andrew G. Barto, Thomas G. Dietterich, Pages: 45–63, 2012

    Published Online : 29 MAY 2012, DOI: 10.1002/9780470544785.ch2

  4. You have full text access to this OnlineOpen article
    Uncertainty in action-value estimation affects both action choice and learning rate of the choice behaviors of rats

    European Journal of Neuroscience

    Volume 35, Issue 7, April 2012, Pages: 1180–1189, Akihiro Funamizu, Makoto Ito, Kenji Doya, Ryohei Kanzaki and Hirokazu Takahashi

    Version of Record online : 4 APR 2012, DOI: 10.1111/j.1460-9568.2012.08025.x

  5. You have free access to this content
    Beyond simple reinforcement learning: the computational neurobiology of reward-learning and valuation

    European Journal of Neuroscience

    Volume 35, Issue 7, April 2012, Pages: 987–990, John P. O’Doherty

    Version of Record online : 4 APR 2012, DOI: 10.1111/j.1460-9568.2012.08074.x

  6. You have free access to this content
    When, What, and How Much to Reward in Reinforcement Learning-Based Models of Cognition

    Cognitive Science

    Volume 36, Issue 2, March 2012, Pages: 333–358, Christian P. Janssen and Wayne D. Gray

    Version of Record online : 18 JAN 2012, DOI: 10.1111/j.1551-6709.2011.01222.x

  7. Reinforcement Learning and Optimal Adaptive Control

    Optimal Control, Third Edition

    Frank L. Lewis, Draguna L. Vrabie, Vassilis L. Syrmos, Pages: 461–517, 2012

    Published Online : 11 JAN 2012, DOI: 10.1002/9781118122631.ch11

  8. A theoretical account of cognitive effects in delay discounting

    European Journal of Neuroscience

    Volume 35, Issue 7, April 2012, Pages: 1052–1064, Zeb Kurth-Nelson, Warren Bickel and A. David Redish

    Version of Record online : 4 APR 2012, DOI: 10.1111/j.1460-9568.2012.08058.x

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    An intelligent agent for optimal river-reservoir system management

    Water Resources Research

    Volume 48, Issue 9, September 2012, Jeffrey D. Rieker and John W. Labadie

    Version of Record online : 26 SEP 2012, DOI: 10.1029/2012WR011958

  10. Inductive Learning in Small and Large Worlds

    Philosophy and Phenomenological Research

    Simon M. Huttegger

    Version of Record online : 24 SEP 2015, DOI: 10.1111/phpr.12232

  11. Instrumental vigour in punishment and reward

    European Journal of Neuroscience

    Volume 35, Issue 7, April 2012, Pages: 1152–1168, Peter Dayan

    Version of Record online : 4 APR 2012, DOI: 10.1111/j.1460-9568.2012.08026.x

  12. Applying reinforcement learning towards automating resource allocation and application scalability in the cloud

    Concurrency and Computation: Practice and Experience

    Volume 25, Issue 12, 25 August 2013, Pages: 1656–1674, Enda Barrett, Enda Howley and Jim Duggan

    Version of Record online : 30 MAY 2012, DOI: 10.1002/cpe.2864

  13. You have full text access to this OnlineOpen article
    Brain Circuits of Methamphetamine Place Reinforcement Learning: The Role of the Hippocampus-VTA Loop

    Brain and Behavior

    Volume 2, Issue 2, March 2012, Pages: 128–141, Yonas B. Keleta and Joe L. Martinez

    Version of Record online : 14 MAR 2012, DOI: 10.1002/brb3.35

  14. Discounted Reinforcement Learning Does Not Scale

    Computational Intelligence

    Volume 13, Issue 1, February 1997, Pages: 126–143, Matthew A. F. McDonald and Philip Hingston

    Version of Record online : 17 DEC 2002, DOI: 10.1111/0824-7935.00035

  15. Multiple model-based reinforcement learning for nonlinear control

    Electronics and Communications in Japan (Part III: Fundamental Electronic Science)

    Volume 89, Issue 9, September 2006, Pages: 54–69, Kazuyuki Samejima, Ken'Ichi Katagiri, Kenji Doya and Mitsuo Kawato

    Version of Record online : 12 APR 2006, DOI: 10.1002/ecjc.20266

  16. Supervised Actor-Critic Reinforcement Learning

    Handbook of Learning and Approximate Dynamic Programming

    Michael T. Rosenstein, Andrew G. Barto, Pages: 359–380, 2012

    Published Online : 29 MAY 2012, DOI: 10.1002/9780470544785.ch14

  17. Reinforcement Learning

    Standard Article

    Stevens' Handbook of Experimental Psychology

    Peter Dayan

    Published Online : 1 JUL 2002, DOI: 10.1002/0471214426.pas0303

  18. Two Competing Models of How People Learn in Games

    Econometrica

    Volume 70, Issue 6, November 2002, Pages: 2141–2166, Ed Hopkins

    Version of Record online : 5 APR 2006, DOI: 10.1111/j.1468-0262.2002.00436.x

  19. Decomposing effects of dopaminergic medication in Parkinson’s disease on probabilistic action selection – learning or performance?

    European Journal of Neuroscience

    Volume 35, Issue 7, April 2012, Pages: 1144–1151, P. Smittenaar, H. W. Chase, E. Aarts, B. Nusselein, B. R. Bloem and R. Cools

    Version of Record online : 4 APR 2012, DOI: 10.1111/j.1460-9568.2012.08043.x

  20. Performance functions and reinforcement learning for trading systems and portfolios

    Journal of Forecasting

    Volume 17, Issue 5-6, September - November 1998, Pages: 441–470, John Moody, Lizhong Wu, Yuansong Liao and Matthew Saffell

    Version of Record online : 4 DEC 1998, DOI: 10.1002/(SICI)1099-131X(1998090)17:5/6<441::AID-FOR707>3.0.CO;2-#