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Antonin Raffin
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Journal Articles
- 2021
- [j2]Antonin Raffin, Bastian Deutschmann, Freek Stulp:
Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms. Frontiers Robotics AI 8: 619238 (2021) - [j1]Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann:
Stable-Baselines3: Reliable Reinforcement Learning Implementations. J. Mach. Learn. Res. 22: 268:1-268:8 (2021)
Conference and Workshop Papers
- 2023
- [c3]Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp:
Guiding Reinforcement Learning with Shared Control Templates. ICRA 2023: 11531-11537 - 2021
- [c2]Antonin Raffin, Jens Kober, Freek Stulp:
Smooth Exploration for Robotic Reinforcement Learning. CoRL 2021: 1634-1644 - 2019
- [c1]Friedrich Lange, Gabriel Quere, Antonin Raffin:
Decoupled Control of Position and / or Force of Tendon Driven Fingers. ICRA 2019: 1176-1182
Informal and Other Publications
- 2024
- [i11]Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi:
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR abs/2402.03046 (2024) - 2023
- [i10]Francesco Vezzi, Jiatao Ding, Antonin Raffin, Jens Kober, Cosimo Della Santina:
Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds. CoRR abs/2309.09682 (2023) - [i9]Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp:
A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. CoRR abs/2310.05808 (2023) - [i8]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - 2022
- [i7]Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa:
A2C is a special case of PPO. CoRR abs/2205.09123 (2022) - [i6]Maël Franceschetti, Coline Lacoux, Ryan Ohouens, Antonin Raffin, Olivier Sigaud:
Making Reinforcement Learning Work on Swimmer. CoRR abs/2208.07587 (2022) - [i5]Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp:
Learning to Exploit Elastic Actuators for Quadruped Locomotion. CoRR abs/2209.07171 (2022) - 2020
- [i4]Antonin Raffin, Freek Stulp:
Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics. CoRR abs/2005.05719 (2020) - 2019
- [i3]Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat:
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. CoRR abs/1901.08651 (2019) - 2018
- [i2]Atsushi Sakai, Daniel Ingram, Joseph Dinius, Karan Chawla, Antonin Raffin, Alexis Paques:
PythonRobotics: a Python code collection of robotics algorithms. CoRR abs/1808.10703 (2018) - [i1]Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat:
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. CoRR abs/1809.09369 (2018)
Coauthor Index
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