Omar Darwiche Domingues

22 papers A* 5A 2B 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Sample, Predict, then Proceed: Self-Verification Sampling for Tool Use of LLMs. CoRR Shangmin Guo, Omar Darwiche Domingues, Raphaël Avalos, Aaron C. Courville, Florian Strub
2025	J	`jnl`	ShiQ: Bringing back Bellman to LLMs. CoRR Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergün, Omar Darwiche Domingues, Eugene Tarassov, Olivier Pietquin, Pierre H. Richemond, Florian Strub, Matthieu Geist
2022	A	`conf`	Adaptive Multi-Goal Exploration. AISTATS Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2022	—	`—`	Exploration in Reinforcement Learning: Beyond Finite State-Spaces. (Exploration en apprentissage par renforcement : au-delà des espaces d'états finis). Omar Darwiche Domingues
2021	A	`conf`	A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. AISTATS Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
2021	J	`jnl`	Adaptive Multi-Goal Exploration. CoRR Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021	B	`conf`	Adaptive Reward-Free Exploration. ALT Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko
2021	B	`conf`	Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited. ALT Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann, Michal Valko
2021	A*	`conf`	Fast active learning for pure exploration in reinforcement learning. ICML Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko
2021	A*	`conf`	Kernel-Based Reinforcement Learning: A Finite-Time Analysis. ICML Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
2021	A*	`conf`	UCB Momentum Q-learning: Correcting the bias without forgetting. ICML Pierre Ménard, Omar Darwiche Domingues, Xuedong Shang, Michal Valko
2021	J	`jnl`	UCB Momentum Q-learning: Correcting the bias without forgetting. CoRR Pierre Ménard, Omar Darwiche Domingues, Xuedong Shang, Michal Valko
2020	J	`jnl`	A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. CoRR Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
2020	J	`jnl`	Adaptive Reward-Free Exploration. CoRR Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko
2020	J	`jnl`	Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited. CoRR Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann, Michal Valko
2020	J	`jnl`	Fast active learning for pure exploration in reinforcement learning. CoRR Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko
2020	A*	`conf`	Planning in Markov Decision Processes with Gap-Dependent Sample Complexity. NeurIPS Anders Jonsson, Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko
2020	J	`jnl`	Planning in Markov Decision Processes with Gap-Dependent Sample Complexity. CoRR Anders Jonsson, Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko
2020	J	`jnl`	Regret Bounds for Kernel-Based Reinforcement Learning. CoRR Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
2019	—	`conf`	Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series. ISBI Omar Darwiche Domingues, Philippe Ciuciu, Daria La Rocca, Patrice Abry, Herwig Wendt
2019	A*	`conf`	Planning in entropy-regularized Markov decision processes and games. NeurIPS Jean-Bastien Grill, Omar Darwiche Domingues, Pierre Ménard, Rémi Munos, Michal Valko
2017	—	`conf`	Capacity limits of space-division multiplexed submarine links subject to nonlinearities and power feed constraints. OFC Omar Darwiche Domingues, Darli A. A. Mello, Reginaldo Silva, Sercan Ömer Arik, Joseph M. Kahn