Yannis Flet-Berliac

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Standard Deviation

Policy Gradient

Reinforcement Learning

Top Venues

Publications

Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. CoRR (2024)
Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar, Florian Strub, Bill Wu, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Olivier Pietquin, Matthieu Geist
Averaging log-likelihoods in direct alignment. CoRR (2024)
Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskill
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators. CoRR (2024)
Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Model-Based Offline Reinforcement Learning with Local Misspecification. AAAI (2023)
Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot
PASTA: Pretrained Action-State Transformer Agents. CoRR (2023)
Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets. NeurIPS (2023)
Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets. CoRR (2023)
Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Model-based Offline Reinforcement Learning with Local Misspecification. CoRR (2023)
Yao Liu, Yannis Flet-Berliac, Emma Brunskill
Offline policy optimization with eligible actions. UAI (2022)
Yao Liu, Yannis Flet-Berliac, Emma Brunskill
Offline Policy Optimization with Eligible Actions. CoRR (2022)
Allen Nie, Yannis Flet-Berliac, Deon R. Jordan, William Steenbergen, Emma Brunskill
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data. NeurIPS (2022)
Allen Nie, Yannis Flet-Berliac, Deon R. Jordan, William Steenbergen, Emma Brunskill
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data. CoRR (2022)
Yannis Flet-Berliac, Debabrota Basu
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics. CoRR (2022)
Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux
Learning Value Functions in Deep Policy Gradients using Residual Variance. ICLR (2021)
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
Adversarially Guided Actor-Critic. ICLR (2021)
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
Adversarially Guided Actor-Critic. CoRR (2021)
Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux
Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients. CoRR (2020)
Yannis Flet-Berliac, Philippe Preux
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. IJCAI (2020)
Yannis Flet-Berliac, Philippe Preux
High-Dimensional Control Using Generalized Auxiliary Tasks. CoRR (2019)
Yannis Flet-Berliac, Philippe Preux
Samples are not all useful: Denoising policy gradient updates using variance. CoRR (2019)