Omar Darwiche Domingues

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 17

Top Topics

Exploration Exploitation

Sample Complexity

Reinforcement Learning

Markov Decision Processes

Top Venues

Publications

Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Adaptive Multi-Goal Exploration. AISTATS (2022)
Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. AISTATS (2021)
Pierre Ménard, Omar Darwiche Domingues, Xuedong Shang, Michal Valko
UCB Momentum Q-learning: Correcting the bias without forgetting. CoRR (2021)
Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Adaptive Multi-Goal Exploration. CoRR (2021)
Pierre Ménard, Omar Darwiche Domingues, Xuedong Shang, Michal Valko
UCB Momentum Q-learning: Correcting the bias without forgetting. ICML (2021)
Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann, Michal Valko
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited. ALT (2021)
Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko
Adaptive Reward-Free Exploration. ALT (2021)
Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko
Fast active learning for pure exploration in reinforcement learning. ICML (2021)
Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
Kernel-Based Reinforcement Learning: A Finite-Time Analysis. ICML (2021)
Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. CoRR (2020)
Anders Jonsson, Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity. NeurIPS (2020)
Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann, Michal Valko
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited. CoRR (2020)
Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko
Fast active learning for pure exploration in reinforcement learning. CoRR (2020)
Anders Jonsson, Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity. CoRR (2020)
Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko
Adaptive Reward-Free Exploration. CoRR (2020)
Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
Regret Bounds for Kernel-Based Reinforcement Learning. CoRR (2020)
Jean-Bastien Grill, Omar Darwiche Domingues, Pierre Ménard, Rémi Munos, Michal Valko
Planning in entropy-regularized Markov decision processes and games. NeurIPS (2019)