Omar Darwiche Domingues

According to our database, Omar Darwiche Domingues authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Sample, Predict, then Proceed: Self-Verification Sampling for Tool Use of LLMs.

Shangmin Guo, Omar Darwiche Domingues, Raphaël Avalos, Aaron C. Courville, Florian Strub

CoRR, June, 2025

ShiQ: Bringing back Bellman to LLMs.

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

CoRR, May, 2025

Command A: An Enterprise-Ready Large Language Model.

Aakanksha, Arash Ahmadian, Marwan Ahmed, Jay Alammar, Milad Alizadeh, Yazeed Alnumay, Sophia Althammer, Arkady Arkhangorodsky, Viraat Aryabumi, Dennis Aumiller, Raphaël Avalos, Zahara Aviv, Sammie Bae, Saurabh Baji, Alexandre Barbet, Max Bartolo, Björn Bebensee, Neeral Beladia, Walter Beller-Morales, Alexandre Bérard, Andrew Berneshawi, Anna Bialas, Phil Blunsom, Matt Bobkin, Adi Bongale, Sam Braun, Maxime Brunet, Samuel Cahyawijaya, David Cairuz, Jon Ander Campos, Cassie Cao, Kris Cao, Roman Castagné, Julián Cendrero, Leila Chan Currie, Yash Chandak, Diane Chang, Giannis Chatziveroglou, Hongyu Chen, Claire Cheng, Alexis Chevalier, Justin T. Chiu, Eugene Choi, Eujeong Choi, Tim Chung, Volkan Cirik, Ana Cismaru, Pierre Clavier, Henry Conklin, Lucas Crawhall-Stein, Devon Crouse, Felipe Cruz-Salinas, Ben Cyrus, Daniel D'souza, Hugo Dalla-Torre, John Dang, William Darling, Omar Darwiche Domingues, Saurabh Dash, Antoine Debugne, Théo Dehaze, Shaan Desai, Joan Devassy, Rishit Dholakia, Kyle Duffy, Ali Edalati, Ace Eldeib, Abdullah Elkady, Sarah Elsharkawy, Irem Ergün, Beyza Ermis, Marzieh Fadaee, Boyu Fan, Lucas Fayoux, Yannis Flet-Berliac, Nick Frosst, Matthias Gallé, Wojciech Galuba, Utsav Garg, Matthieu Geist, Mohammad Gheshlaghi Azar, Ellen Gilsenan-McMahon, Seraphina Goldfarb-Tarrant, Tomas Goldsack, Aidan N. Gomez, Victor Machado Gonzaga, Nithya Govindarajan, Manoj Govindassamy, Nathan Grinsztajn, Nikolas Gritsch, Patrick Gu, Shangmin Guo, Kilian Haefeli, Rod Hajjar, Tim Hawes, Jingyi He, Sebastian Hofstätter, Sungjin Hong

CoRR, April, 2025

2022

Exploration in Reinforcement Learning: Beyond Finite State-Spaces. (Exploration en apprentissage par renforcement : au-delà des espaces d'états finis).

Omar Darwiche Domingues

PhD thesis, 2022

Adaptive Multi-Goal Exploration.

Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

UCB Momentum Q-learning: Correcting the bias without forgetting.

Pierre Ménard, Omar Darwiche Domingues, Xuedong Shang, Michal Valko

Proceedings of the 38th International Conference on Machine Learning, 2021

Fast active learning for pure exploration in reinforcement learning.

Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko

Proceedings of the 38th International Conference on Machine Learning, 2021

Kernel-Based Reinforcement Learning: A Finite-Time Analysis.

Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko

Proceedings of the 38th International Conference on Machine Learning, 2021

Adaptive Reward-Free Exploration.

Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko

Proceedings of the Algorithmic Learning Theory, 2021

Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited.

Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann, Michal Valko

Proceedings of the Algorithmic Learning Theory, 2021

A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces.

Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Regret Bounds for Kernel-Based Reinforcement Learning.

Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko

CoRR, 2020

Planning in Markov Decision Processes with Gap-Dependent Sample Complexity.

Anders Jonsson, Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Planning in entropy-regularized Markov decision processes and games.

Jean-Bastien Grill, Omar Darwiche Domingues, Pierre Ménard, Rémi Munos, Michal Valko

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

Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series.

Omar Darwiche Domingues, Philippe Ciuciu, Daria La Rocca, Patrice Abry, Herwig Wendt

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017

Capacity limits of space-division multiplexed submarine links subject to nonlinearities and power feed constraints.

Omar Darwiche Domingues, Darli A. A. Mello, Reginaldo Silva, Sercan Ömer Arik, Joseph M. Kahn

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017