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  Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux. Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. European Workshop on Reinforcement Learning, Oct 2024, Toulouse, France. ⟨hal-04784919⟩
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  Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Medeiros Centa, Hector Kohler, et al.. AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents. Transactions on Machine Learning Research Journal, 2024. ⟨hal-04132861v2⟩
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  Apurv Shukla, Debabrota Basu. Preference-based Pure Exploration. Advances in Neural Information Processing Systems (NeurIPS), Dec 2024, Vancouver (CA), Canada. ⟨hal-04733134⟩
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  Timothée Mathieu, Philippe Preux. Statistical comparison in empirical computer science with minimal computation usage. ACM REP '24: ACM Conference on Reproducibility and Replicability, Jun 2024, Rennes, France. pp.20-24, ⟨10.1145/3641525.3663618⟩. ⟨hal-04718314⟩
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  Tuan Quang Tuan Dam, Odalric-Ambrym Maillard, Emilie Kaufmann. Power Mean Estimation in Stochastic Monte-Carlo Tree Search. Uncertainty in Artificial Intelligence, Jul 2024, Barcelona, Spain. ⟨hal-04714124⟩

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