Leurent, Edouard

8 publications

NeurIPSW 2024 Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Avinava Dubey, Alexandre Rame, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Leonard Hussenot, Olivier Bachem, Edouard Leurent

ALT 2021 Adaptive Reward-Free Exploration Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko

ICML 2021 Fast Active Learning for Pure Exploration in Reinforcement Learning Pierre Menard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko

ACML 2020 Monte-Carlo Graph Search: The Value of Merging Similar States Edouard Leurent, Odalric-Ambrym Maillard

NeurIPS 2020 Planning in Markov Decision Processes with Gap-Dependent Sample Complexity Anders Jonsson, Emilie Kaufmann, Pierre Menard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko

NeurIPS 2020 Robust-Adaptive Control of Linear Systems: Beyond Quadratic Costs Edouard Leurent, Odalric-Ambrym Maillard, Denis Efimov

NeurIPS 2019 Budgeted Reinforcement Learning in Continuous State Space Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin

ECML-PKDD 2019 Practical Open-Loop Optimistic Planning Edouard Leurent, Odalric-Ambrym Maillard