← Authors

Peter Dayan

22 papers · 2006–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (19) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ† Keyword Champion πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (22) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (74) πŸš€ Conference Pioneer

Conferences

NIPS (17) ICLR (2) ICML (2) UAI (1)

Top co-authors

MΓ‘tΓ© Lengyel (5) Eric Schulz (3) Amir Dezfouli (3) Richard Nock (2) Cristina Savin (2) Arthur Guez (2) David Silver (2) Tankred Saanum (2) Ehsan Arabzadeh (1) Forough Habibollahi (1)

Keywords

bayesian inference (4) cognitive modeling (3) memory retrieval (3) bayesian learning (2) neural network (2) reinforcement learning (2) decision making (2) model-based reinforcement learning (2) distributional reinforcement learning (2) bayesian reinforcement learning (2) model uncertainty (2) monte-carlo tree search (2) exploration exploitation (2) recurrent neural network (2) hippocampal memory (1) visual processing (1) game theory (1) population coding (1) neural computation (1) image classification (1)

Papers

Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences ICLR 2025
Simplifying Latent Dynamics with Softly State-Invariant World Models NIPS 2024
Reinforcement Learning with Simple Sequence Priors NIPS 2023
Neural Network Poisson Models for Behavioural and Neural Spike Train Data ICML 2022
Two steps to risk sensitivity NIPS 2021
Correcting experience replay for multi-agent communication ICLR 2021
A Local Temporal Difference Code for Distributional Reinforcement Learning NIPS 2020
Static and Dynamic Values of Computation in MCTS UAI 2020
Disentangled behavioural representations NIPS 2019
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models NIPS 2018
Fast Parametric Learning with Activation Memorization ICML 2018
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Correlations strike back (again): the case of associative memory retrieval NIPS 2013
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories NIPS 2011
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing NIPS 2009
Know Thy Neighbour: A Normative Theory of Synaptic Depression NIPS 2009
Psychiatry: Insights into depression through normative decision-making models NIPS 2008
Load and Attentional Bayes NIPS 2008
Bayesian Model of Behaviour in Economic Games NIPS 2008
Hippocampal Contributions to Control: The Third Way NIPS 2007
Uncertainty, phase and oscillatory hippocampal recall NIPS 2006