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Johan Ferret — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Johan Ferret
25
papers ·
265
citations ·
8
h-index
Google DeepMind (United Kingdom) · Google (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Acme: A Research Framework for Distributed Reinforcement Learning
2020 · 73 citations
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
2023 · 69 citations
Adversarially Guided Actor-Critic
2021 · 11 citations
Self-Imitation Advantage Learning
2020 · 8 citations
Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act
2022 · 4 citations
WARM: On the Benefits of Weight Averaged Reward Models
2024 · 3 citations
Direct Language Model Alignment from Online AI Feedback
2024 · 3 citations
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
2021 · 2 citations
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
2023 · 1 citations
WARP: On the Benefits of Weight Averaged Rewarded Policies
2024 · 1 citations
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences
2021
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
2024
Top co-authors
Olivier Pietquin
· 6
Matthieu Geist
· 5
L\'eonard Hussenot
· 4
Nino Vieillard
· 4
Robert Dadashi
· 4
Alexandre Ram\'e
· 3
Bilal Piot
· 3
Olivier Bachem
· 3
Sertan Girgin
· 3
Thomas Mesnard
· 3
Biao Zhang
· 2
Bobak Shahriari
· 2
Topics
Value-Based
Policy Gradient
Model-Based RL
RLHF & Alignment
Exploration
Game AI
Safe RL
Offline RL
Multi-Agent
Meta-RL