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David Filliat — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
David Filliat
20
papers ·
187
citations ·
29
h-index
École Nationale Supérieure de Techniques Avancées
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Semantic Scholar ↗
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Most-cited papers
DisCoRL: Continual Reinforcement Learning via Policy Distillation
2019 · 35 citations
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
2019 · 24 citations
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
2018 · 20 citations
Continual State Representation Learning for Reinforcement Learning using Generative Replay
2018 · 19 citations
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
2019 · 17 citations
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning
2018 · 10 citations
On the Sensory Commutativity of Action Sequences for Embodied Agents
2020 · 1 citations
POAR: Efficient Policy Optimization via Online Abstract State Representation Learning
2021
On Double Descent in Reinforcement Learning with LSTD and Random Features
2023
Top co-authors
Hugo Caselles-Dupr\'e
· 5
Michael Garcia-Ortiz
· 3
Natalia D\'iaz-Rodr\'iguez
· 3
Ren\'e Traor\'e
· 3
Te Sun
· 3
Timoth\'ee Lesort
· 3
Antonin Raffin
· 2
Ashley Hill
· 2
Binhao Chen
· 1
David Brellmann
· 1
Éloïse Berthier
· 1
Goran Frehse
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Value-Based
Meta-RL
Game AI
Offline RL
Safe RL