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Yannis Flet-Berliac — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yannis Flet-Berliac
12
papers ·
24
citations
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Most-cited papers
Adversarially Guided Actor-Critic
2021 · 11 citations
MERL: Multi-Head Reinforcement Learning
2019 · 4 citations
Learning Value Functions in Deep Policy Gradients using Residual Variance
2020 · 3 citations
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics
2022 · 2 citations
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
2022 · 2 citations
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
2023 · 2 citations
ShiQ: Bringing back Bellman to LLMs
2025
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
2024
Offline Policy Optimization with Eligible Actions
2022
Model-based Offline Reinforcement Learning with Local Misspecification
2023
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
2024
Top co-authors
Allen Nie
· 4
Emma Brunskill
· 4
Matthieu Geist
· 3
Olivier Pietquin
· 3
Anirudhan Badrinath
· 2
Florian Strub
· 2
Nathan Grinsztajn
· 2
Philippe Preux
· 2
Yash Chandak
· 2
Arash Ahmadian
· 1
Bill Wu
· 1
Chris Cremer
· 1
Topics
Offline RL
Value-Based
Policy Gradient
Safe RL
RLHF & Alignment
Meta-RL
Exploration
Model-Based RL
Multi-Agent
Game AI