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Articles by Brendan O'Donoghue

Probabilistic Inference in Reinforcement Learning Done Right
22 November 2023 by Jean Tarbouriech and others at LogoGoogle
Machine Learning, Artificial Intelligence
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization
4 June 2023 by Brendan O'Donoghue
Machine Learning, Artificial Intelligence
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
6 March 2023 by Ted Moskovitz and others
Machine Learning
Optimistic Meta-Gradients
9 January 2023 by Sebastian Flennerhag and others
Machine Learning, Artificial Intelligence
POMRL: No-Regret Learning-to-Plan with Increasing Horizons
30 December 2022 by Khimya Khetarpal and others
Artificial Intelligence, Machine Learning
On the connection between Bregman divergence and value in regularized Markov decision processes
25 October 2022 by Brendan O'Donoghue
Machine Learning, Artificial Intelligence
The Neural Testbed: Evaluating Predictive Distributions
1 February 2022 by Ian Osband and others
Machine Learning, Artificial Intelligence
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
7 January 2022 by David Applegate and others
Optimization and Control
Discovering Diverse Nearly Optimal Policies with Successor Features
4 January 2022 by Tom Zahavy and others
Artificial Intelligence, Machine Learning
Discovering a set of policies for the worst case reward
10 December 2021 by Tom Zahavy and others
Artificial Intelligence, Machine Learning
Variational Bayesian Optimistic Sampling
29 October 2021 by Brendan O'Donoghue and Tor Lattimore
Machine Learning
Reward is enough for convex MDPs
27 October 2021 by Tom Zahavy and others
Artificial Intelligence, Machine Learning
Solving Mixed Integer Programs Using Neural Networks
23 July 2021 by Vinod Nair and others
Optimization and Control, Artificial Intelligence
Matrix games with bandit feedback
12 June 2021 by Brendan O'Donoghue and others
Machine Learning, Computation
Sample Efficient Reinforcement Learning with REINFORCE
24 December 2020 by Junzi Zhang and others
Machine Learning, Optimization and Control
Operator splitting for a homogeneous embedding of the linear complementarity problem
14 September 2020 by Brendan O'Donoghue
Optimization and Control
Making Sense of Reinforcement Learning and Probabilistic Inference
14 February 2020 by Brendan O'Donoghue and others
Machine Learning, Artificial Intelligence
Hamiltonian descent for composite objectives
17 November 2019 by Brendan O'Donoghue and Chris Maddison
Optimization and Control
Variational Bayesian Reinforcement Learning with Regret Bounds
1 July 2019 by Brendan O'Donoghue
Machine Learning, Artificial Intelligence
Verification of Non-Linear Specifications for Neural Networks
25 February 2019 by Chongli Qin and others
Machine Learning
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles
22 November 2018 by Edward Grefenstette and others
Neural and Evolutionary Computing, Cryptography and Security
Hamiltonian Descent Methods
13 September 2018 by Chris Maddison and others
Optimization and Control, Machine Learning
Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations
12 August 2018 by Junzi Zhang and others
Optimization and Control
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
12 June 2018 by Jonathan Uesato and others
Machine Learning, Cryptography and Security
The Uncertainty Bellman Equation and Exploration
8 June 2018 by Brendan O'Donoghue and others
Artificial Intelligence, Machine Learning
Training verified learners with learned verifiers
29 May 2018 by Krishnamurthy Dvijotham and others
Machine Learning
PGQ: Combining policy gradient and Q-learning
6 March 2017 by Brendan O'Donoghue and others
Machine Learning, Artificial Intelligence
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding
25 July 2016 by Brendan O'Donoghue and others
Optimization and Control
Large-Scale Convex Optimization for Dense Wireless Cooperative Networks
2 June 2015 by Yuanming Shi and others
Information Theory, Optimization and Control
Adaptive Restart for Accelerated Gradient Schemes
18 April 2012 by Brendan O'Donoghue and Emmanuel Candés
Optimization and Control
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