O'Donoghue, Brendan

16 publications

NeurIPS 2023 Optimistic Meta-Gradients Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado P van Hasselt, András György, Satinder P. Singh

TMLR 2023 POMRL: No-Regret Learning-to-Plan with Increasing Horizons Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy

NeurIPSW 2023 POMRL: No-Regret Learning-to-Plan with Increasing Horizons Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy

NeurIPS 2023 Probabilistic Inference in Reinforcement Learning Done Right Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue

NeurIPSW 2022 Optimistic Meta-Gradients Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado van Hasselt, András György, Satinder Singh

NeurIPS 2022 The Neural Testbed: Evaluating Joint Predictions Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy

ICMLW 2021 Discovering Diverse Nearly Optimal Policies with Successor Features Tom Zahavy, Brendan O'Donoghue, Andre Barreto, Sebastian Flennerhag, Volodymyr Mnih, Satinder Singh

ICLR 2021 Discovering a Set of Policies for the Worst Case Reward Tom Zahavy, Andre Barreto, Daniel J Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh

NeurIPS 2021 Practical Large-Scale Linear Programming Using Primal-Dual Hybrid Gradient David Applegate, Mateo Diaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy

NeurIPS 2021 Reward Is Enough for Convex MDPs Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder P. Singh

ICMLW 2021 Reward Is Enough for Convex MDPs Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder Singh

NeurIPS 2021 Variational Bayesian Optimistic Sampling Brendan O'Donoghue, Tor Lattimore

NeurIPS 2021 Variational Bayesian Reinforcement Learning with Regret Bounds Brendan O'Donoghue

ICLR 2020 Making Sense of Reinforcement Learning and Probabilistic Inference Brendan O'Donoghue, Ian Osband, Catalin Ionescu

NeurIPS 2019 Hamiltonian Descent for Composite Objectives Brendan O'Donoghue, Chris J. Maddison

ICLR 2019 Verification of Non-Linear Specifications for Neural Networks Chongli Qin, Krishnamurthy Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli