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Yannis Flet-Berliac
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Cited by
Cited by
Year
Temperature decreases spread parameters of the new Covid-19 case dynamics
J Demongeot, Y Flet-Berliac, H Seligmann
Biology 9 (5), 94, 2020
1572020
Adversarially Guided Actor-Critic
Y Flet-Berliac, J Ferret, O Pietquin, P Preux, M Geist
ICLR 2021, 2021
772021
The Promise of Hierarchical Reinforcement Learning
Y Flet-Berliac
The Gradient, 2019
322019
Learning Value Functions in Deep Policy Gradients using Residual Variance
Y Flet-Berliac, R Ouhamma, OA Maillard, P Preux
ICLR 2021, 2021
212021
rlberry - A Reinforcement Learning Library for Research and Education
OD Domingues, Y Flet-Berliac, E Leurent, P Ménard, X Shang, M Valko
GitHub repository, 2021
182021
Hearables in hearing care: Discovering usage patterns through IoT devices
B Johansen, Y Flet-Berliac, M Korzepa, P Sandholm, N Pontoppidan, ...
International Conference on Universal Access in Human-Computer Interaction …, 2017
182017
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
A Nie, Y Flet-Berliac, D Richmond, W Steenbergen, E Brunskill
NeurIPS 2022, 2022
142022
MERL: Multi-Head Reinforcement Learning
Y Flet-Berliac, P Preux
NeurIPS 2019 Deep Reinforcement Learning Workshop, 2019
122019
Learning Preferences and Soundscapes for Augmented Hearing
MJ Korzepa, B Johansen, MK Petersen, J Larsen, JE Larsen, ...
IUI Workshops, 2018
122018
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics
Y Flet-Berliac, D Basu
RLDM 2022, 2022
112022
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
A Badrinath, Y Flet-Berliac, A Nie, E Brunskill
NeurIPS 2023, 2023
92023
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL
Y Flet-Berliac, P Preux
IJCAI 2020, 2020
9*2020
PASTA: Pretrained Action-State Transformer Agents
R Boige, Y Flet-Berliac, A Flajolet, G Richard, T Pierrot
NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023
42023
Offline Policy Optimization with Eligible Actions
Y Liu, Y Flet-Berliac, E Brunskill
UAI 2022, 2022
42022
Model-based Offline Reinforcement Learning with Local Misspecification
K Dong, Y Flet-Berliac, A Nie, E Brunskill
AAAI 2023, 2023
12023
Sample-Efficient Deep Reinforcement Learning for Control, Exploration and Safety
Y Flet-Berliac
12021
High-Dimensional Control Using Generalized Auxiliary Tasks
Y Flet-Berliac, P Preux
Research Report hal-02295705, 2019
12019
Averaging log-likelihoods in direct alignment
N Grinsztajn, Y Flet-Berliac, MG Azar, F Strub, B Wu, E Choi, C Cremer, ...
arXiv preprint arXiv:2406.19188, 2024
2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
Y Flet-Berliac, N Grinsztajn, F Strub, E Choi, C Cremer, A Ahmadian, ...
arXiv preprint arXiv:2406.19185, 2024
2024
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
A Nie, Y Chandak, CJ Yuan, A Badrinath, Y Flet-Berliac, E Brunskil
arXiv preprint arXiv:2405.17708, 2024
2024
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