Omar Darwiche Domingues | DeepAI

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Featured Co-authors

Michal Valko
73 publications
Alessandro Lazaric
66 publications
Emilie Kaufmann
42 publications
Matteo Pirotta
41 publications
Anders Jonsson
36 publications
Pierre Ménard
31 publications
Edouard Leurent
10 publications
Jean Tarbouriech
8 publications
Xuedong Shang
5 publications

∙ 11/23/2021

Adaptive Multi-Goal Exploration

We introduce a generic strategy for provably efficient multi-goal explor...

0 Jean Tarbouriech, et al. ∙

∙ 03/01/2021

UCB Momentum Q-learning: Correcting the bias without forgetting

We propose UCBMQ, Upper Confidence Bound Momentum Q-learning, a new algo...

0 Pierre Ménard, et al. ∙

∙ 10/07/2020

Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited

In this paper, we propose new problem-independent lower bounds on the sa...

0 Omar Darwiche Domingues, et al. ∙

∙ 07/27/2020

Fast active learning for pure exploration in reinforcement learning

Realistic environments often provide agents with very limited feedback. ...

10 Pierre Ménard, et al. ∙

∙ 07/09/2020

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

In this work, we propose KeRNS: an algorithm for episodic reinforcement ...

51 Omar Darwiche Domingues, et al. ∙

∙ 06/11/2020

Adaptive Reward-Free Exploration

Reward-free exploration is a reinforcement learning setting recently stu...

3 Emilie Kaufmann, et al. ∙

∙ 06/10/2020

Planning in Markov Decision Processes with Gap-Dependent Sample Complexity

We propose MDP-GapE, a new trajectory-based Monte-Carlo Tree Search algo...

10 Anders Jonsson, et al. ∙

∙ 04/12/2020

Regret Bounds for Kernel-Based Reinforcement Learning

We consider the exploration-exploitation dilemma in finite-horizon reinf...

0 Omar Darwiche Domingues, et al. ∙

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