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2020 – today
- 2024
[j2]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. 25: 108:1-108:16 (2024)- [c11]Hannah Janmohamed
, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully:
Multi-Objective Quality-Diversity for Crystal Structure Prediction. GECCO 2024 - [i19]Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully:
Multi-Objective Quality-Diversity for Crystal Structure Prediction. CoRR abs/2403.17164 (2024) - [i18]Benoit Gaujac, Jérémie Donà, Liviu Copoiu, Timothy Atkinson, Thomas Pierrot, Thomas D. Barrett:
Learning the Language of Protein Structure. CoRR abs/2405.15840 (2024) - [i17]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 abs/2406.14150 (2024) - 2023
- [j1]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: 106618 (2023) - [c10]Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully:
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO 2023: 119-128 - [c9]Hannah Janmohamed, Thomas Pierrot, Antoine Cully:
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. GECCO 2023: 165-173 - [c8]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: 1221-1229 - [c7]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 - [c6]Thomas Pierrot, Arthur Flajolet:
Evolving Populations of Diverse RL Agents with MAP-Elites. ICLR 2023 - [i16]Hannah Janmohamed, Thomas Pierrot, Antoine Cully:
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. CoRR abs/2302.12668 (2023) - [i15]Thomas Pierrot, Arthur Flajolet:
Evolving Populations of Diverse RL Agents with MAP-Elites. CoRR abs/2303.12803 (2023) - [i14]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 abs/2303.16207 (2023) - [i13]Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully:
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR abs/2306.05138 (2023) - [i12]Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot:
PASTA: Pretrained Action-State Transformer Agents. CoRR abs/2307.10936 (2023) - [i11]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 abs/2308.03665 (2023) - 2022
- [c5]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-objective quality diversity optimization. GECCO 2022: 139-147 - [c4]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: 1075-1083 - [c3]Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot:
Fast Population-Based Reinforcement Learning on a Single Machine. ICML 2022: 6533-6547 - [i10]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-Objective Quality Diversity Optimization. CoRR abs/2202.03057 (2022) - [i9]Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot:
Fast Population-Based Reinforcement Learning on a Single Machine. CoRR abs/2206.08888 (2022) - [i8]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. CoRR abs/2210.03516 (2022) - [i7]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 abs/2211.13742 (2022) - 2021
- [c2]Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud:
First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. ICANN (2) 2021: 197-208 - 2020
- [i6]Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud:
QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning. CoRR abs/2006.08505 (2020) - [i5]Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs for Continuous Control. CoRR abs/2007.13363 (2020) - [i4]Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir:
Offline Reinforcement Learning Hands-On. CoRR abs/2011.14379 (2020) - [i3]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 abs/2012.01736 (2020)
2010 – 2019
- 2019
- [c1]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: 14646-14656 - [i2]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 abs/1905.12941 (2019) - 2018
- [i1]Thomas Pierrot, Nicolas Perrin, Olivier Sigaud:
First-order and second-order variants of the gradient descent: a unified framework. CoRR abs/1810.08102 (2018)
Coauthor Index
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last updated on 2024-09-18 00:09 CEST by the dblp team
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