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L\'eonard Hussenot — most-cited papers & profile · Reinforcement Learning
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L\'eonard Hussenot
14
papers ·
217
citations
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Most-cited papers
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
2020 · 105 citations
Acme: A Research Framework for Distributed Reinforcement Learning
2020 · 73 citations
CopyCAT: Taking Control of Neural Policies with Constant Attacks
2019 · 16 citations
Show me the Way: Intrinsic Motivation from Demonstrations
2020 · 5 citations
Offline Reinforcement Learning with Pseudometric Learning
2021 · 5 citations
WARM: On the Benefits of Weight Averaged Reward Models
2024 · 3 citations
Continuous Control with Action Quantization from Demonstrations
2021 · 2 citations
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
2021 · 2 citations
WARP: On the Benefits of Weight Averaged Rewarded Policies
2024 · 1 citations
Offline Reinforcement Learning as Anti-Exploration
2021
Top co-authors
Olivier Pietquin
· 6
Robert Dadashi
· 6
Matthieu Geist
· 5
Nino Vieillard
· 4
Olivier Bachem
· 4
Sertan Girgin
· 4
Alexandre Ram\'e
· 2
Anton Raichuk
· 2
Damien Vincent
· 2
Johan Ferret
· 2
Piotr Sta\'nczyk
· 2
Raphaël Marinier
· 2
Topics
Offline RL
Policy Gradient
Exploration
Safe RL
Value-Based
Meta-RL
RLHF & Alignment
Game AI
Multi-Agent
Model-Based RL