Best Policy Identification in discounted MDPs: Problem-specific Sample Complexity. - Aymen Al Marjani; Alexandre Proutière (CoRR, 2020)

Adaptive Sampling for Best Policy Identification in Markov Decision Processes. - Aymen Al Marjani; Alexandre Proutière (ICML, 2021)

Navigating to the Best Policy in Markov Decision Processes. - Aymen Al Marjani; Aurélien Garivier; Alexandre Proutière (NeurIPS, 2021)

Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs. - Andrea Tirinzoni; Aymen Al Marjani; Emilie Kaufmann (NeurIPS, 2022)

On the Complexity of All ε-Best Arms Identification. - Aymen Al Marjani; Tomás Kocák; Aurélien Garivier (ECML/PKDD (4), 2022)

Optimistic PAC Reinforcement Learning: the Instance-Dependent View. - Andrea Tirinzoni; Aymen Al Marjani; Emilie Kaufmann (ALT, 2023)

Active Coverage for PAC Reinforcement Learning. - Aymen Al Marjani; Andrea Tirinzoni; Emilie Kaufmann (COLT, 2023)

On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence. - Achraf Azize; Marc Jourdan; Aymen Al Marjani; Debabrota Basu (NeurIPS, 2023)

Towards Instance-Optimality in Online PAC Reinforcement Learning. - Aymen Al Marjani; Andrea Tirinzoni; Emilie Kaufmann (CoRR, 2023)

Differentially Private Best-Arm Identification. - Achraf Azize; Marc Jourdan; Aymen Al Marjani; Debabrota Basu (CoRR, 2024)

Multilingual Self-Taught Faithfulness Evaluators. - Carlo Alfano; Aymen Al Marjani; Zeno Jonke; Amin Mantrach; Saab Mansour; Marcello Federico (CoRR, 2025)