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Thomas Pierrot
Thomas Pierrot
Research Scientist, InstaDeep
Verified email at instadeep.com
Title
Cited by
Cited by
Year
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
T Pierrot, V Macé, F Chalumeau, A Flajolet, G Cideron, K Beguir, A Cully, ...
Proceedings of the Genetic and Evolutionary Computation Conference, 2022
69*2022
Learning compositional neural programs with recursive tree search and planning
T Pierrot, G Ligner, SE Reed, O Sigaud, N Perrin, A Laterre, D Kas, ...
Advances in Neural Information Processing Systems 32, 2019
432019
The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
H Dalla-Torre, L Gonzalez, J Mendoza-Revilla, NL Carranza, ...
bioRxiv, 2023.01.11.523679, 2023
292023
Early computational detection of potential high-risk SARS-CoV-2 variants
K Beguir, MJ Skwark, Y Fu, T Pierrot, NL Carranza, A Laterre, I Kadri, ...
Computers in biology and medicine 155, 106618, 2023
252023
Multi-Objective Quality Diversity Optimization
T Pierrot, G Richard, K Beguir, A Cully
Proceedings of the Genetic and Evolutionary Computation Conference, 2022
212022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
F Chalumeau, R Boige, B Lim, V Macé, M Allard, A Flajolet, A Cully, ...
The Eleventh International Conference on Learning Representations, 2022
152022
Offline reinforcement learning hands-on
L Monier, J Kmec, A Laterre, T Pierrot, V Courgeau, O Sigaud, K Beguir
arXiv preprint arXiv:2011.14379, 2020
102020
Fast population-based reinforcement learning on a single machine
A Flajolet, CB Monroc, K Beguir, T Pierrot
International Conference on Machine Learning, 6533-6547, 2022
92022
First-order and second-order variants of the gradient descent in a unified framework
T Pierrot, N Perrin-Gilbert, O Sigaud
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
92021
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems
F Chalumeau, T Pierrot, V Macé, A Flajolet, K Beguir, A Cully, ...
arXiv preprint arXiv:2211.13742, 2022
52022
Qdax: A library for quality-diversity and population-based algorithms with hardware acceleration
F Chalumeau, B Lim, R Boige, M Allard, L Grillotti, M Flageat, V Macé, ...
arXiv preprint arXiv:2308.03665, 2023
42023
Evolving Populations of Diverse RL Agents with MAP-Elites
T Pierrot, A Flajolet
The Eleventh International Conference on Learning Representations, 2023
42023
Designing a prospective COVID-19 therapeutic with reinforcement learning
MJ Skwark, NL Carranza, T Pierrot, J Phillips, S Said, A Laterre, A Kerkeni, ...
arXiv preprint arXiv:2012.01736, 2020
42020
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
V Macé, R Boige, F Chalumeau, T Pierrot, G Richard, N Perrin-Gilbert
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
32023
Learning compositional neural programs for continuous control
T Pierrot, N Perrin, F Behbahani, A Laterre, O Sigaud, K Beguir, ...
arXiv preprint arXiv:2007.13363, 2020
32020
Pasta: Pretrained action-state transformer agents
R Boige, Y Flet-Berliac, A Flajolet, G Richard, T Pierrot
arXiv preprint arXiv:2307.10936, 2023
12023
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces
R Boige, G Richard, J Dona, T Pierrot, A Cully
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
12023
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
H Janmohamed, T Pierrot, A Cully
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
12023
Contrasting Sequence with Structure: Pre-training Graph Representations with PLMs
LCB Robinson, T Atkinson, L Copoiu, P Bordes, T Pierrot, T Barrett
bioRxiv, 2023.12. 01.569611, 2023
12023
Factored Action Spaces in Deep Reinforcement Learning
T PIERROT, V Macé, JB Sevestre, L Monier, A Laterre, N Perrin, K Beguir, ...
12020
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