Antonin Raffin

According to our database, Antonin Raffin authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.

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

CoRR, 2024

2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

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.

CoRR, 2023

A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks.

Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

CoRR, 2023

Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds.

Francesco Vezzi, Jiatao Ding, Antonin Raffin, Jens Kober, Cosimo Della Santina

CoRR, 2023

Guiding Reinforcement Learning with Shared Control Templates.

Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Learning to Exploit Elastic Actuators for Quadruped Locomotion.

Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

CoRR, 2022

Making Reinforcement Learning Work on Swimmer.

Maël Franceschetti, Coline Lacoux, Ryan Ohouens, Antonin Raffin, Olivier Sigaud

CoRR, 2022

A2C is a special case of PPO.

Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa

CoRR, 2022

2021

Stable-Baselines3: Reliable Reinforcement Learning Implementations.

Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann

J. Mach. Learn. Res., 2021

Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms.

Antonin Raffin, Bastian Deutschmann, Freek Stulp

Frontiers Robotics AI, 2021

Smooth Exploration for Robotic Reinforcement Learning.

Antonin Raffin, Jens Kober, Freek Stulp

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics.

Antonin Raffin, Freek Stulp

CoRR, 2020

2019

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics.

Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat

CoRR, 2019

Decoupled Control of Position and / or Force of Tendon Driven Fingers.

Friedrich Lange, Gabriel Quere, Antonin Raffin

Proceedings of the International Conference on Robotics and Automation, 2019

2018

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning.

Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat

CoRR, 2018

PythonRobotics: a Python code collection of robotics algorithms.

Atsushi Sakai, Daniel Ingram, Joseph Dinius, Karan Chawla, Antonin Raffin, Alexis Paques

CoRR, 2018