Antonin Raffin
TitleCited byYear
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, R Traore, P Dhariwal, C Hesse, ...
GitHub repository, 2018
402018
S-RL toolbox: Environments, datasets and evaluation metrics for state representation learning
A Raffin, A Hill, R Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
arXiv preprint arXiv:1809.09369, 2018
52018
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
arXiv preprint arXiv:1901.08651, 2019
42019
Unsupervised learning of state representations for multiple tasks
A Raffin, S Höfer, R Jonschkowski, O Brock, F Stulp
42016
PythonRobotics: a Python code collection of robotics algorithms
A Sakai, D Ingram, J Dinius, K Chawla, A Raffin, A Paques
arXiv preprint arXiv:1808.10703, 2018
32018
Unsupervised learning of state representations for multiple tasks
S Höfer, A Raffin, R Jonschkowski, O Brock, F Stulp
Deep Learning Workshop at the Conference on Neural Information Processing …, 2016
22016
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Articles 1–6