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Apprentissage par renforcement pour la recherche d'experts sur le web.

, , and . EGC, volume E-36 of RNTI, page 261-268. Éditions RNTI, (2020)

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Deterministic policies based on maximum regrets in MDPs with imprecise rewards., , and . AI Commun., 34 (4): 229-244 (2021)Improving Imitation Learning by Merging Experts Trajectories., , and . CIKM, page 3796-3800. ACM, (2022)How to Learn the Optimal Clique Decompositions in Solving Semidefinite Relaxations for OPF., , , , and . IJCNN, page 1-8. IEEE, (2022)Hierarchical Learning of Dependent Concepts for Human Activity Recognition., , and . PAKDD (2), volume 12713 of Lecture Notes in Computer Science, page 79-92. Springer, (2021)An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse., , , , and . CICLing (1), volume 13396 of Lecture Notes in Computer Science, page 180-192. Springer, (2018)Industrie 4.0 : Prédiction de consommation réelle par fine-tuning à partir de simulations., , and . EGC, volume E-36 of RNTI, page 413-414. Éditions RNTI, (2020)Machine Learning Guided Optimization for Demand Responsive Transport Systems., , , and . ECML/PKDD (4), volume 12978 of Lecture Notes in Computer Science, page 420-436. Springer, (2021)Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems., , , and . IJCAI, page 6335-6342. ijcai.org, (2023)Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse)., , , , and . CORIA-TALN-RJC (TALN 2), page 465-472. ATALA, (2018)Clustering Approach to Solve Hierarchical Classification Problem Complexity., , and . AAAI, page 7904-7912. AAAI Press, (2022)