Hearables in Hearing Care: Discovering Usage Patterns Through IoT Devices. - Benjamin Johansen; Yannis Paul Raymond Flet-Berliac; Maciej Jan Korzepa; Per Sandholm; Niels Henrik Pontoppidan; Michael Kai Petersen; Jakob Eg Larsen (HCI (9), 2017)

Samples are not all useful: Denoising policy gradient updates using variance. - Yannis Flet-Berliac; Philippe Preux (CoRR, 2019)

High-Dimensional Control Using Generalized Auxiliary Tasks. - Yannis Flet-Berliac; Philippe Preux (CoRR, 2019)

Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. - Yannis Flet-Berliac; Philippe Preux (IJCAI, 2020)

Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients. - Yannis Flet-Berliac; Reda Ouhamma; Odalric-Ambrym Maillard; Philippe Preux (CoRR, 2020)

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 (ICLR, 2021)

Sample-Efficient Deep Reinforcement Learning for Control, Exploration and Safety. (Apprentissage par renforcement profond éfficace pour le contrôle, l'exploration et la sûreté). - Yannis Flet-Berliac (2021)

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

Offline policy optimization with eligible actions. - Yao Liu 009; Yannis Flet-Berliac; Emma Brunskill (UAI, 2022)

SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics. - Yannis Flet-Berliac; Debabrota Basu (CoRR, 2022)

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

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

PASTA: Pretrained Action-State Transformer Agents. - Raphaël Boige; Yannis Flet-Berliac; Arthur Flajolet; Guillaume Richard; Thomas Pierrot (CoRR, 2023)

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. - Yannis Flet-Berliac; Nathan Grinsztajn; Florian Strub; Eugene Choi; Bill Wu; Chris Cremer; Arash Ahmadian; Yash Chandak; Mohammad Gheshlaghi Azar; Olivier Pietquin; Matthieu Geist (EMNLP, 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 (NeurIPS, 2024)

PASTA: Pretrained Action-State Transformer Agents. - Raphaël Boige; Yannis Flet-Berliac; Lars C. P. M. Quaedvlieg; Arthur Flajolet; Guillaume Richard; Thomas Pierrot (RLJ, 2024)

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. - Yannis Flet-Berliac; Nathan Grinsztajn; Florian Strub; Eugene Choi; Chris Cremer; Arash Ahmadian; Yash Chandak; Mohammad Gheshlaghi Azar; Olivier Pietquin; Matthieu Geist (CoRR, 2024)

Averaging log-likelihoods in direct alignment. - Nathan Grinsztajn; Yannis Flet-Berliac; Mohammad Gheshlaghi Azar; Florian Strub; Bill Wu; Eugene Choi; Chris Cremer; Arash Ahmadian; Yash Chandak; Olivier Pietquin; Matthieu Geist (CoRR, 2024)

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. - John Dang; Shivalika Singh; Daniel D'souza; Arash Ahmadian; Alejandro Salamanca; Madeline Smith; Aidan Peppin; Sungjin Hong; Manoj Govindassamy; Terrence Zhao; Sandra Kublik; Meor Amer; et al. (CoRR, 2024)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

ShiQ: Bringing back Bellman to LLMs. - Pierre Clavier; Nathan Grinsztajn; Raphaël Avalos; Yannis Flet-Berliac; Irem Ergün; Omar Darwiche Domingues; Eugene Tarassov; Olivier Pietquin; Pierre H. Richemond; Florian Strub; Matthieu Geist (CoRR, 2025)