Antonin Raffin
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Stable-Baselines3: Reliable Reinforcement Learning Implementations
A Raffin, A Hill, M Ernestus, A Gleave, A Kanervisto, N Dormann
Journal of Machine Learning Research (JMLR) 22 (268), 1-8, 2021
Stable Baselines
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traoré, P Dhariwal, ...
GitHub repository, 2018
RL Baselines Zoo
A Raffin
GitHub repository, 2018
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
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
The 37 Implementation Details of Proximal Policy Optimization
S Huang, RFJ Dossa, A Raffin, A Kanervisto, W Wang
ICLR, 2022
Smooth Exploration for Robotic Reinforcement Learning
A Raffin, J Kober, F Stulp
Conference on Robot Learning, 2021
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
A Raffin, A Hill, R Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
arXiv preprint arXiv:1901.08651, 2019
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
A2C is a special case of PPO
S Huang, A Kanervisto, A Raffin, W Wang, S Ontañón, RFJ Dossa
arXiv preprint arXiv:2205.09123, 2022
Unsupervised learning of state representations for multiple tasks
A Raffin, S Höfer, R Jonschkowski, O Brock, F Stulp
Fault-tolerant six-DoF pose estimation for tendon-driven continuum mechanisms
A Raffin, B Deutschmann, F Stulp
Frontiers in Robotics and AI 8, 619238, 2021
Learning to exploit elastic actuators for quadruped locomotion
A Raffin, D Seidel, J Kober, A Albu-Schäffer, J Silvério, F Stulp
arXiv preprint arXiv:2209.07171, 2022
Making reinforcement learning work on swimmer
M Franceschetti, C Lacoux, R Ohouens, A Raffin, O Sigaud
arXiv preprint arXiv:2208.07587, 2022
Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds
F Vezzi, J Ding, A Raffin, J Kober, C Della Santina
arXiv preprint arXiv:2309.09682, 2023
Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates
A Padalkar, G Quere, A Raffin, J Silvério, F Stulp
Autonomous Robots 48 (4), 12, 2024
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ...
arXiv preprint arXiv:2402.03046, 2024
A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
A Raffin, O Sigaud, J Kober, A Albu-Schäffer, J Silvério, F Stulp
arXiv preprint arXiv:2310.05808, 2023
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