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Thomas Pierrot — most-cited papers & profile · Reinforcement Learning
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Thomas Pierrot
13
papers ·
68
citations
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Most-cited papers
Learning Compositional Neural Programs with Recursive Tree Search and Planning
2019 · 13 citations
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
2023 · 10 citations
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
2022 · 6 citations
Offline Reinforcement Learning Hands-On
2020 · 4 citations
Learning Compositional Neural Programs for Continuous Control
2020 · 2 citations
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
2020 · 2 citations
Fast Population-Based Reinforcement Learning on a Single Machine
2022 · 1 citations
Evolving Populations of Diverse RL Agents with MAP-Elites
2023 · 1 citations
Top co-authors
Karim Beguir
· 5
Alexandre Laterre
· 4
Arthur Flajolet
· 4
Olivier Sigaud
· 3
Antoine Cully
· 2
Bryan Lim
· 2
Felix Chalumeau
· 2
Maxime Allard
· 2
Nando de Freitas
· 2
Nicolas Perrin
· 2
Raphael Boige
· 2
Valentin Mac\'e
· 2
Topics
Meta-RL
Exploration
Policy Gradient
Model-Based RL
Value-Based
Safe RL
Offline RL