Exploration-Exploitation in MDPs with Options. - Ronan Fruit; Alessandro Lazaric (AISTATS, 2017)

Regret Minimization in MDPs with Options without Prior Knowledge. - Ronan Fruit; Matteo Pirotta; Alessandro Lazaric; Emma Brunskill (NIPS, 2017)

Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning. - Ronan Fruit; Matteo Pirotta; Alessandro Lazaric; Ronald Ortner (ICML, 2018)

Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes. - Ronan Fruit; Matteo Pirotta; Alessandro Lazaric (NeurIPS, 2018)

Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes. - Jian Qian; Ronan Fruit; Matteo Pirotta; Alessandro Lazaric (CoRR, 2018)

Regret Bounds for Learning State Representations in Reinforcement Learning. - Ronald Ortner; Matteo Pirotta; Alessandro Lazaric; Ronan Fruit; Odalric-Ambrym Maillard (NeurIPS, 2019)

Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs. - Jian Qian; Ronan Fruit; Matteo Pirotta; Alessandro Lazaric (NeurIPS, 2019)

Exploration-exploitation dilemma in Reinforcement Learning under various form of prior knowledge. (Impact des connaissances a priori sur le compromis exploration-exploitation en apprentissage par renforcement). - Ronan Fruit (2019)

Concentration Inequalities for Multinoulli Random Variables. - Jian Qian; Ronan Fruit; Matteo Pirotta; Alessandro Lazaric (CoRR, 2020)

Improved Analysis of UCRL2 with Empirical Bernstein Inequality. - Ronan Fruit; Matteo Pirotta; Alessandro Lazaric (CoRR, 2020)