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Variational Bayesian Optimistic Sampling


Oct 29, 2021
Brendan O'Donoghue, Tor Lattimore

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Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?


Oct 09, 2021
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy

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Discovering Diverse Nearly Optimal Policies withSuccessor Features


Jun 01, 2021
Tom Zahavy, Brendan O'Donoghue, Andre Barreto, Volodymyr Mnih, Sebastian Flennerhag, Satinder Singh

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Reward is enough for convex MDPs


Jun 01, 2021
Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder Singh

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Discovering a set of policies for the worst case reward


Feb 08, 2021
Tom Zahavy, Andre Barreto, Daniel J Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Baveja Singh

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Solving Mixed Integer Programs Using Neural Networks


Dec 23, 2020
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols

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Sample Efficient Reinforcement Learning with REINFORCE


Oct 22, 2020
Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen Boyd

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* 35 pages 

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Stochastic matrix games with bandit feedback


Jun 09, 2020
Brendan O'Donoghue, Tor Lattimore, Ian Osband

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Making Sense of Reinforcement Learning and Probabilistic Inference


Feb 14, 2020
Brendan O'Donoghue, Ian Osband, Catalin Ionescu

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* ICLR 2020 

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