Timothee LESORT
Timothee LESORT
Mila - Quebec AI Institute
Adresse e-mail validée de ensta-paris.fr - Page d'accueil
Titre
Citée par
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Année
State representation learning for control: An overview
T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat
Neural Networks 108, 379-392, 2018
1262018
Generative models from the perspective of continual learning
T Lesort, H Caselles-Dupré, M Garcia-Ortiz, A Stoian, D Filliat
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
452019
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
T Lesort, V Lomonaco, A Stoian, D Maltoni, D Filliat, N Díaz-Rodríguez
Information Fusion 58, 52-68, 2020
362020
Deep unsupervised state representation learning with robotic priors: a robustness analysis
T Lesort, M Seurin, X Li, N Díaz-Rodríguez, D Filliat
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
25*2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
A Raffin, A Hill, KR Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
International Conference on Learning Representations (ICLR) 2019, Structure …, 2019
212019
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
DF Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz ...
International Conference on Neural Information Processing Systems (NeurIPS …, 2018
21*2018
Marginal replay vs conditional replay for continual learning
T Lesort, A Gepperth, A Stoian, D Filliat
International Conference on Artificial Neural Networks, 466-480, 2019
172019
Continual learning for robotics
T Lesort, V Lomonaco, A Stoian, D Maltoni, D Filliat, N Díaz-Rodríguez
arXiv preprint arXiv:1907.00182, 2019
162019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
R Traoré, H Caselles-Dupré, T Lesort, T Sun, G Cai, N Díaz-Rodríguez, ...
International Conference on Neural Information Processing Systems (NeurIPS …, 2019
14*2019
Training Discriminative Models to Evaluate Generative Ones
T Lesort, JF Goudou, D Filliat
arXiv preprint arXiv:1806.10840, 2018
11*2018
Regularization shortcomings for continual learning
T Lesort, A Stoian, D Filliat
arXiv preprint arXiv:1912.03049, 2019
62019
Exploring to learn visual saliency: The RL-IAC approach
C Craye, T Lesort, D Filliat, JF Goudou
Robotics and Autonomous Systems 112, 244-259, 2019
62019
Continual reinforcement learning deployed in real-life using policy distillation and sim2real transfer
RT Kalifou, H Caselles-Dupré, T Lesort, T Sun, N Diaz-Rodriguez, D Filliat
ICML Workshop on Multi-Task and Lifelong Learning, 2019
52019
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
T Lesort
arXiv preprint arXiv:2007.00487, 2020
2020
Apprentissage continu: S'attaquer à l'oubli foudroyant des réseaux de neurones profonds grâce aux méthodes à rejeu de données
T Lesort
Institut Polytechnique de Paris, 2020
2020
Continuum: Data Loaders for Continual Learning
TL Arthur Douillard
https://github.com/Continvvm/continuum, 2020
2020
Generative Models from the perspective of Continual Learning
M Garcia Ortiz, T Lesort, H Caselles-Dupré, JF Goudou, D Filliat
Proceedings of the International Joint Conference on Neural Networks, 1-8, 2019
2019
Unsupervised Deep Learning of State Representation Using Robotic Priors
T LESORT, D FILLIAT
2016
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