Flet-Berliac, Yannis

11 publications

NeurIPS 2025 ShiQ: Bringing Back Bellman to LLMs Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergun, Omar Darwiche Domingues, Olivier Pietquin, Pierre Harvey Richemond, Florian Strub, Matthieu Geist

NeurIPS 2024 OPERA: Automatic Offline Policy Evaluation with Re-Weighted Aggregates of Multiple Estimators Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskill

AAAI 2023 Model-Based Offline Reinforcement Learning with Local Misspecification Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill

NeurIPSW 2023 PASTA: Pretrained Action-State Transformer Agents Raphael Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot

NeurIPS 2023 Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill

NeurIPSW 2023 Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets Anirudhan Badrinath, Allen Nie, Yannis Flet-Berliac, Emma Brunskill

NeurIPS 2022 Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data Allen Nie, Yannis Flet-Berliac, Deon Jordan, William Steenbergen, Emma Brunskill

UAI 2022 Offline Policy Optimization with Eligible Actions Yao Liu, Yannis Flet-Berliac, Emma Brunskill

ICLR 2021 Adversarially Guided Actor-Critic Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist

ICLR 2021 Learning Value Functions in Deep Policy Gradients Using Residual Variance Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux

IJCAI 2020 Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac, Philippe Preux