Thomas Pierrot

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Stochastic Dominance

Weighted Number Of Tardy Jobs

Reinforcement Learning

Top Venues

Publications

Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Lorenz Hexemer, Christopher Blum, Stefan Laurent, Jan Grzegorzewski, Maren Lang, Thomas Pierrot, Guillaume Richard
Multi-modal Transfer Learning between Biological Foundation Models. CoRR (2024)
Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully
Multi-Objective Quality-Diversity for Crystal Structure Prediction. GECCO (2024)
Benoit Gaujac, Jérémie Donà, Liviu Copoiu, Timothy Atkinson, Thomas Pierrot, Thomas D. Barrett
Learning the Language of Protein Structure. CoRR (2024)
Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully
Multi-Objective Quality-Diversity for Crystal Structure Prediction. CoRR (2024)
Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO (2023)
Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO (2023)
Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot
PASTA: Pretrained Action-State Transformer Agents. CoRR (2023)
Thomas Pierrot, Arthur Flajolet
Evolving Populations of Diverse RL Agents with MAP-Elites. ICLR (2023)
Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR (2023)
Thomas Pierrot, Arthur Flajolet
Evolving Populations of Diverse RL Agents with MAP-Elites. CoRR (2023)
Hannah Janmohamed, Thomas Pierrot, Antoine Cully
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. CoRR (2023)
Hannah Janmohamed, Thomas Pierrot, Antoine Cully
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. GECCO (2023)
Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR (2023)
Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR (2023)
Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR (2023)
Karim Beguir, Marcin J. Skwark, Yunguan Fu, Thomas Pierrot, Nicolás López Carranza, Alexandre Laterre, Ibtissem Kadri, Abir Korched, Anna U. Lowegard, Bonny Gaby Lui, Bianca Sänger, Yunpeng Liu, Asaf Poran, Alexander Muik, Ugur Sahin
Early computational detection of potential high-risk SARS-CoV-2 variants. Comput. Biol. Medicine 155 (2023)
Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR (2022)
Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot
Fast Population-Based Reinforcement Learning on a Single Machine. CoRR (2022)
Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO (2022)
Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot
Fast Population-Based Reinforcement Learning on a Single Machine. ICML (2022)
Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
Multi-objective quality diversity optimization. GECCO (2022)
Félix Chalumeau, Raphael Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR (2022)
Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
Multi-Objective Quality Diversity Optimization. CoRR (2022)
Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud
First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. ICANN (2) (2021)
Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. CoRR (2020)
Thomas Pierrot, Nicolas Perrin, Feryal Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas
Learning Compositional Neural Programs for Continuous Control. CoRR (2020)
Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud
QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning. CoRR (2020)
Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir
Offline Reinforcement Learning Hands-On. CoRR (2020)
Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
Learning Compositional Neural Programs with Recursive Tree Search and Planning. CoRR (2019)
Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
Learning Compositional Neural Programs with Recursive Tree Search and Planning. NeurIPS (2019)
Thomas Pierrot, Nicolas Perrin, Olivier Sigaud
First-order and second-order variants of the gradient descent: a unified framework. CoRR (2018)