Publications of P Dayan

Brielmann, A.; Dayan, P.: Aesthetic boredom. In: The Routledge International Handbook of Boredom (Eds. Bieleke, M.; Wolff, W.; Martarelli, C.). Routledge, London, UK (2024)

Dayan, P.; Roiser, J.; Viding, E.: The first steps on long marches: The costs of active observation. In: Psychiatry Reborn: Biopsychosocial psychiatry in modern medicine, 14, pp. 213 - 228 (Eds. Davies, W.; Savulescu, J.; Roache, R.; Loebel, J.). Oxford University Press, Oxford, UK (2020)

Dayan, P.; Nakahara, H.: Models and Methods for Reinforcement Learning. In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Vol. 5: Methodology, 4. Ed., pp. 507 - 546 (Eds. Wixted, J.; Wagenmakers, E.-J.). Wiley, Hoboken, NJ, USA (2018)

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)

Dayan, P.: Models of Value and Choice. In: Neuroscience of Preference and Choice: Cognitive and Neural Mechanisms, 2, pp. 33 - 52 (Eds. Dolan, R.; Sharot, T.). Elsevier/Academic Press, London, UK (2012)

Daw, N.; Courville, A.; Dayan, P.: Semi-rational models of conditioning: The case of trial order. In: The Probabilistic Mind: Prospects for Bayesian cognitive science$, 19, pp. 427 - 448 (Eds. Chater, N.; Oaksford, M.). Oxford University Press, Oxford, UK (2008)

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, 6 (Eds. Engel, C.; Singer, W.). MIT Press, Cambridge, MA, USA (2008)

Daw, N.; Niv, Y.; Dayan, P.: Actions, policies, values, and the basal ganglia. In: Recent Breakthroughs in Basal Ganglia Research, 8, pp. 91 - 106 (Ed. Bezard, E.). Nova Science Publishers, Hauppauge, NY, USA (2006)

Dayan, P.: Levels of Analysis in Neural Modeling. In: Encyclopedia of Cognitive Science, 2 Ed. (Ed. Nadel, L.). Wiley, Chichester, UK (2005)

Dayan, P.; Watkins, C.: Reinforcement Learning. In: Encyclopedia of Cognitive Science, Vol. 3 (Ed. Nadel, L.). Wiley, Chichester, UK (2005)

Dayan, P.: Helmholtz machines and wake-sleep learning. In: The Handbook of Brain Theory and Neural Networks, 2. Ed., pp. 522 - 524 (Ed. Arbib, M.). MIT Press, Cambridge, MA, USA (2003)

Schraudolph, N.; Dayan, P.; Sejnowski, T.: Learning to Evaluate Go Positions via Temporal Difference Methods. In: Computational Intelligence in Games, pp. 77 - 98 (Eds. Baba, N.; Jain, L.). Physica Verlag, Heidelberg, Germany (2001)

Dayan, P.: Unsupervised Learning. In: The MIT Encyclopedia of the Cognitive Sciences (Eds. Wilson, R.; Keil, F.). MIT Press, Cambridge, MA, USA (1999)

Montague, P.; Dayan, P.: Neurobiological Modeling: Squeezing Top Down to Meet Bottom Up. In: A Companion to Cognitive Science, pp. 526 - 542 (Eds. Bechtel, W.; Graham, G.). Blackwell, Malden, MA, USA (1998)

Oberlander, J.; Dayan, P.: Altered states and virtual beliefs. In: Connectionism, Concepts and Folk Psychology: The Legacy of Alan Turing Vol. 2, pp. 101 - 114 (Eds. Millican, P.; Clark, A.). Clarendon Press, Oxford, UK (1996)

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

Wu, S.; Alaniz, S.; Karthik, S.; Dayan, P.; Schulz, E.; Akata, Z.: Concept-Guided Interpretability via Neural Chunking. In: Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS 2025). Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS 2025), Vancouver, Canada, December 10, 2024 - December 15, 2024. (2025)

Nagy, D.; Shen, K.; Zhou, H.; Wu, C.; Dayan, P.: Analogy making as amortised model construction. In: Second Reinforcement Learning Conference (RLC 2025). Second Reinforcement Learning Conference (RLC 2025), Edmonton, AB, Canada, August 05, 2025 - August 09, 2025. (2025)

Sarıtaş, K.; Dayan, P.; Shen, K.; Nath, S.: Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, V5-S-60, pp. 2623 - 2630 (Eds. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA, July 30, 2025 - August 02, 2025. (2025)

Saanum, T.; Dayan, P.; Schulz, E.: Simplifying Latent Dynamics with Softly State-Invariant World Models. In: NIPS '24: Proceedings of the 38th International Conference on Neural Information Processing Systems, 1212, pp. 38355 - 38382 (Eds. Globerson, A.; Mackay, L.; Belgrave, D.; Fan, A.; Paquet, U. et al.). Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, December 10, 2024 - December 15, 2024. Curran, Red Hook, NY, USA (2025)