Thomas Pierrot
Thomas Pierrot
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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
Qd-rl: Efficient mixing of quality and diversity in reinforcement learning
G Cideron, T Pierrot, N Perrin, K Beguir, O Sigaud
arXiv preprint arXiv:2006.08505, 2020
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
T Pierrot, V MacÚ, F Chalumeau, A Flajolet, G Cideron, K Beguir, A Cully, ...
ICLR Workshop on Agent Learning in Open-Endedness, 2022
First-order and second-order variants of the gradient descent in a unified framework
T Pierrot, N Perrin-Gilbert, O Sigaud
International Conference on Artificial Neural Networks, 197-208, 2021
Early computational detection of potential high risk SARS-CoV-2 variants
K Beguir, MJ Skwark, Y Fu, T Pierrot, SNL Carranza, A Laterre, I Kadri, ...
bioRxiv, 2021
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
Multi-Objective Quality Diversity Optimization
T Pierrot, G Richard, K Beguir, A Cully
arXiv preprint arXiv:2202.03057, 2022
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
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
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
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems
F Chalumeau, T Pierrot, V MacÚ, A Flajolet, K Beguir, A Cully, ...
arXiv preprint arXiv:2211.13742, 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
F Chalumeau, R Boige, B Lim, V MacÚ, M Allard, A Flajolet, A Cully, ...
arXiv preprint arXiv:2210.03516, 2022
Sample efficient Quality Diversity for neural continuous control
T PIERROT, V MacÚ, G Cideron, N Perrin, K Beguir, O Sigaud
Factored Action Spaces in Deep Reinforcement Learning
T PIERROT, V MacÚ, JB Sevestre, L Monier, A Laterre, N Perrin, K Beguir, ...
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