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Journal Article (224)

  1. 221.
    Journal Article
    Dayan, P.: The Convergence of TD(λ) for General λ. Machine Learning 8 (3-4), pp. 341 - 362 (1992)
  2. 222.
    Journal Article
    Watkins, C.; Dayan, P.: Q-learning. Machine Learning 8 (3-4), pp. 279 - 292 (1992)
  3. 223.
    Journal Article
    Dayan, P.; Willshaw, D.: Optimising synaptic learning rules in linear associative memories. Biological Cybernetics 65 (4), pp. 253 - 265 (1991)
  4. 224.
    Journal Article
    Willshaw, D.; Dayan, P.: Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. Neural computation 2 (1), pp. 85 - 93 (1990)

Book (1)

  1. 225.
    Book
    Dayan, P.; Abbott, L.: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. MIT Press, Cambridge, MA, USA (2001), 460 pp.

Book Chapter (3)

  1. 226.
    Book Chapter
    Dayan, P.: Exploration from Generalization Mediated by Multiple Controllers. In: Intrinsically Motivated Learning in Natural and Artificial Systems, pp. 73 - 91 (Eds. Baldassarre, G.; Mirolli, M.). Springer, Berlin, Germany (2013)
  2. 227.
    Book Chapter
    Dayan, P.: Models of Value and Choice. In: Neuroscience of Preference and Choice: Cognitive and Neural Mechanisms, pp. 33 - 52 (Eds. Dolan, R.; Sharot, T.). Elsevier/Academic Press, London, UK (2012)
  3. 228.
    Book Chapter
    Platt, M.; Dayan, P.; Dehaene, S.; McCabe, H.; Menzel, R.; Phelps, E.; Plassmann, H.; Ratcliff, R.; Shadlen, M.; Singer, W.: Neuronal Correlates of Decision Making. In: Better than conscious?: decision making, the human mind, and implications for institutions (Eds. Engel, C.; Singer, W.). MIT Press, Cambridge, MA, USA (2008)

Proceedings (1)

  1. 229.
    Proceedings
    Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Reports, 1). Dagstuhl Seminar 11131, Dagstuhl, Germany, March 27, 2011 - April 01, 2011. (2011)

Conference Paper (40)

  1. 230.
    Conference Paper
    Dezfouli , A.; Ashtiani , H.; Ghattas, O.; Nock, R.; Dayan, P.; Ong, C.: Disentangled behavioural representations. In: Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019). Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, December 09, 2019 - December 13, 2019. (accepted)
  2. 231.
    Conference Paper
    Jain, Y.; Gupta, S.; Rakesh, V.; Dayan, P.; Callaway, F.; Lieder, F.: How do people learn how to plan? In: Conference on Cognitive Computational Neuroscience (CCN 2019). Conference on Cognitive Computational Neuroscience (CCN 2019), Berlin, Germany, September 13, 2019 - September 16, 2019. (2019)
  3. 232.
    Conference Paper
    Browning, M.; Carter, C.; Chatham, C.; Den Ouden, H.; Gillan, C.; Baker, J.; Chekroud, A.; Cools, R.; Dayan, P.; Gold, J. et al.; Goldstein, R.; Hartley, C.; Kepecs, A.; Lawson, R.; Mourao-Miranda, J.; Phillips, M.; Pizzagalli, D.; Powers, A.; Rindskopf, D.; Roiser, J.; Schmack, K.; Schiller, D.; Sebold, M.; Stephan, K.; Frank, M.; Huys, Q.; Paulus, M.: Realizing the Clinical Potential of Computational Psychiatry: Report from the Banbury Center Meeting, February 2019. In: Banbury Center Meeting. Banbury Center Meeting, Huntington, NY, USA, 2019-02. (2019)
  4. 233.
    Conference Paper
    Ahilan, S.; Dayan, P.: Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. In: Workshop on Structure & Priors in Reinforcement Learning (SPiRL 2019) at ICLR 2019. Workshop on Structure & Priors in Reinforcement Learning (SPiRL 2019) at ICLR 2019, New Orleans, LA, USA, May 06, 2019. (2019)
  5. 234.
    Conference Paper
    Dezfouli, A.; Morris, R.; Ramos, F.; Dayan, P.; Balleine, B.: Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models. In: Advances in Neural Information Processing Systems 31 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi, N. et al.). 32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada, December 03, 2018 - December 08, 2018. Curran, Red Hook, NY, USA (2018)
  6. 235.
    Conference Paper
    Stojic, H.; Eldar, E.; Bassam, H.; Dayan, P.; Dolan, R.: Are you sure about that? On the origins of confidence in concept learning. In: Conference on Cognitive Computational Neuroscience (CCN 2018). Conference on Cognitive Computational Neuroscience (CCN 2018), Philadelphia, PA, USA, September 05, 2018 - September 08, 2018. (2018)
  7. 236.
    Conference Paper
    Karaletsos, T.; Dayan, P.; Ghahramani, Z.: Probabilistic Meta-Representations Of Neural Networks. In: CAST's 4th Annual UDL Symposium: Empowering Learners. CAST's 4th Annual UDL Symposium: Empowering Learners , Cambridge, MA, USA, July 30, 2018 - August 01, 2018. (2018)
  8. 237.
    Conference Paper
    Rae, J.; Dyer, C.; Dayan, P.; Lillicrap, C.: Fast Parametric Learning with Activation Memorization. In: International Conference on Machine Learning, 10-15 July 2018, pp. 4228 - 4237 (Eds. Dy, J.; Krasue, A.). 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, July 10, 2018 - July 15, 2018. International Machine Learning Society, Madison, WI, USA (2018)
  9. 238.
    Conference Paper
    Bramley, N.; Dayan, P.; Lagnado, D.: Staying afloat on Neurath's boat: Heuristics for sequential causal learning. In: 37th Annual Meeting of the Cognitive Science Society (CogSci 2015) (Eds. Noelle, D.; Dale, R.; Warlaumont, A.; Yoshimi, J.; Matlock, T. et al.). 37th Annual Meeting of the Cognitive Science Society (CogSci 2015), Pasadena, CA, USA, July 22, 2015 - July 25, 2015. Cognitive Science Society, Austin, TX, USA (2015)
  10. 239.
    Conference Paper
    Guez, A.; Heess, N.; Silver, D.; Dayan, P.: Bayes-Adaptive Simulation-based Search with Value Function Approximation. In: Advances in Neural Information Processing Systems 27 (NIPS 2014), pp. 451 - 459 (Eds. Ghahramani, Z.; Welling, M.; Cortes, C.; Lawrence, N.; Weinberger, K.). Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014) , Montreal, Canada, December 08, 2014 - December 13, 2014. Curran, Red Hook, NY, USA (2015)
  11. 240.
    Conference Paper
    Savin, C.; Dayan, P.; Lengyel, M.: Correlations strike back (again): the case of associative memory retrieval. In: Advances in Neural Information Processing Systems 26 (NIPS 2013), pp. 288 - 296 (Eds. Burges, C.; Bottou, L.; Ghahramani, Z.; Weinberger, K.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, USA, December 05, 2013 - December 10, 2013. Curran, Red Hook, NY, USA (2014)
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