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Correcting Experience Replay for Multi-Agent Communication


Oct 02, 2020
Sanjeevan Ahilan, Peter Dayan


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Static and Dynamic Values of Computation in MCTS


Feb 11, 2020
Eren Sezener, Peter Dayan


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Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning


Jan 24, 2019
Sanjeevan Ahilan, Peter Dayan


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Probabilistic Meta-Representations Of Neural Networks


Oct 01, 2018
Theofanis Karaletsos, Peter Dayan, Zoubin Ghahramani

* presented at UAI 2018 Uncertainty In Deep Learning Workshop (UDL AUG. 2018) 

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Fast Parametric Learning with Activation Memorization


Mar 27, 2018
Jack W Rae, Chris Dyer, Peter Dayan, Timothy P Lillicrap


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Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning


May 26, 2017
Neil R. Bramley, Peter Dayan, Thomas L. Griffiths, David A. Lagnado

* Psychological Review, Vol 124(3), Apr 2017, 301-338 

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Comparison of Maximum Likelihood and GAN-based training of Real NVPs


May 15, 2017
Ivo Danihelka, Balaji Lakshminarayanan, Benigno Uria, Daan Wierstra, Peter Dayan


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Monte Carlo Planning method estimates planning horizons during interactive social exchange


May 26, 2015
Andreas Hula, P. Read Montague, Peter Dayan


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Better Optimism By Bayes: Adaptive Planning with Rich Models


Feb 09, 2014
Arthur Guez, David Silver, Peter Dayan

* 11 pages, 11 figures 

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Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search


Dec 18, 2013
Arthur Guez, David Silver, Peter Dayan

* (2012) Advances in Neural Information Processing Systems 25, pages 1034-1042 
* 14 pages, 7 figures, includes supplementary material. Advances in Neural Information Processing Systems (NIPS) 2012 

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