Brendan O'Donoghue

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimistic Meta-Gradients.

[BibT_eX]

[DOI]

Sebastian Flennerhag

Tom Zahavy

Hado Philip van Hasselt

András György

Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

On the connection between Bregman divergence and value in regularized Markov decision processes.

[BibT_eX]

[DOI]

CoRR, 2022

The Neural Testbed: Evaluating Joint Predictions.

[BibT_eX]

[DOI]

Zheng Wen

Seyed Mohammad Asghari

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Operator Splitting for a Homogeneous Embedding of the Linear Complementarity Problem.

[BibT_eX]

[DOI]

SIAM J. Optim., 2021

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

[BibT_eX]

[DOI]

Zheng Wen

Seyed Mohammad Asghari

CoRR, 2021

Discovering Diverse Nearly Optimal Policies withSuccessor Features.

[BibT_eX]

[DOI]

CoRR, 2021

Matrix games with bandit feedback.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Reward is enough for convex MDPs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational Bayesian Optimistic Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational Bayesian Reinforcement Learning with Regret Bounds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Discovering a set of policies for the worst case reward.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Sample Efficient Reinforcement Learning with REINFORCE.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations.

[BibT_eX]

[DOI]

Junzi Zhang

SIAM J. Optim., 2020

Solving Mixed Integer Programs Using Neural Networks.

[BibT_eX]

[DOI]

Christian Tjandraatmadja

Pengming Wang

Ravichandra Addanki

Tharindi Hapuarachchi

CoRR, 2020

Stochastic matrix games with bandit feedback.

[BibT_eX]

[DOI]

CoRR, 2020

Making Sense of Reinforcement Learning and Probabilistic Inference.

[BibT_eX]

[DOI]

Catalin Ionescu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Hamiltonian descent for composite objectives.

[BibT_eX]

[DOI]

Krishnamurthy (Dj) Dvijotham

Chris J. Maddison

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Verification of Non-Linear Specifications for Neural Networks.

[BibT_eX]

[DOI]

Chongli Qin

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles.

[BibT_eX]

[DOI]

CoRR, 2018

Hamiltonian Descent Methods.

[BibT_eX]

[DOI]

CoRR, 2018

Training verified learners with learned verifiers.

[BibT_eX]

[DOI]

Krishnamurthy Dvijotham

CoRR, 2018

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

The Uncertainty Bellman Equation and Exploration.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Combining policy gradient and Q-learning.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2016

PGQ: Combining policy gradient and Q-learning.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Large-Scale Convex Optimization for Dense Wireless Cooperative Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Adaptive Restart for Accelerated Gradient Schemes.

[BibT_eX]

[DOI]

Emmanuel J. Candès

Found. Comput. Math., 2015

2014

Fast Alternating Direction Optimization Methods.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Performance Bounds and Suboptimal Policies for Multi-Period Investment.

[BibT_eX]

[DOI]

Found. Trends Optim., 2014

2013

A Splitting Method for Optimal Control.

[BibT_eX]

[DOI]

Giorgos Stathopoulos

IEEE Trans. Control. Syst. Technol., 2013

Iterated approximate value functions.

[BibT_eX]

[DOI]

Yang Wang

Proceedings of the 12th European Control Conference, 2013

2011

Min-max approximate dynamic programming.

[BibT_eX]

[DOI]

Yang Wang