Domingues, Omar Darwiche

8 publications

NeurIPS 2025 ShiQ: Bringing Back Bellman to LLMs Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergun, Omar Darwiche Domingues, Olivier Pietquin, Pierre Harvey Richemond, Florian Strub, Matthieu Geist

ICMLW 2021 Density-Based Bonuses on Learned Representations for Reward-Free Exploration in Deep Reinforcement Learning Omar Darwiche Domingues, Corentin Tallec, Remi Munos, Michal Valko

ALT 2021 Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann, Michal Valko

ICML 2021 Fast Active Learning for Pure Exploration in Reinforcement Learning Pierre Menard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko

ICML 2021 Kernel-Based Reinforcement Learning: A Finite-Time Analysis Omar Darwiche Domingues, Pierre Menard, Matteo Pirotta, Emilie Kaufmann, Michal Valko

ICML 2021 UCB Momentum Q-Learning: Correcting the Bias Without Forgetting Pierre Menard, Omar Darwiche Domingues, Xuedong Shang, Michal Valko

NeurIPS 2020 Planning in Markov Decision Processes with Gap-Dependent Sample Complexity Anders Jonsson, Emilie Kaufmann, Pierre Menard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko

NeurIPS 2019 Planning in Entropy-Regularized Markov Decision Processes and Games Jean-Bastien Grill, Omar Darwiche Domingues, Pierre Menard, Remi Munos, Michal Valko