Thomas Pierrot
Thomas Pierrot
InstaDeep, Sorbonne Université
Verified email at instadeep.com
Title
Cited by
Cited by
Year
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, 14673-14683, 2019
152019
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
22020
First-order and second-order variants of the gradient descent in a unified framework
T Pierrot, N Perrin, O Sigaud
arXiv preprint arXiv:1810.08102, 2018
22018
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
2020
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
2020
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
2020
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