PythonRobotics: a Python code collection of robotics algorithms. - Atsushi Sakai; Daniel Ingram; Joseph Dinius; Karan Chawla; Antonin Raffin; Alexis Paques (CoRR, 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)

Decoupled Control of Position and / or Force of Tendon Driven Fingers. - Friedrich Lange; Gabriel Quere; Antonin Raffin (ICRA, 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)

Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics. - Antonin Raffin; Freek Stulp (CoRR, 2020)

Smooth Exploration for Robotic Reinforcement Learning. - Antonin Raffin; Jens Kober; Freek Stulp (CoRL, 2021)

Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms. - Antonin Raffin; Bastian Deutschmann; Freek Stulp (Frontiers Robotics AI, 2021)

Stable-Baselines3: Reliable Reinforcement Learning Implementations. - Antonin Raffin; Ashley Hill; Adam Gleave; Anssi Kanervisto; Maximilian Ernestus; Noah Dormann (J. Mach. Learn. Res., 2021)

A2C is a special case of PPO. - Shengyi Huang; Anssi Kanervisto; Antonin Raffin; Weixun Wang; Santiago Ontañón; Rousslan Fernand Julien Dossa (CoRR, 2022)

Making Reinforcement Learning Work on Swimmer. - Maël Franceschetti; Coline Lacoux; Ryan Ohouens; Antonin Raffin; Olivier Sigaud (CoRR, 2022)

Learning to Exploit Elastic Actuators for Quadruped Locomotion. - Antonin Raffin; Daniel Seidel; Jens Kober; Alin Albu-Schäffer; João Silvério; Freek Stulp (CoRR, 2022)

Guiding Reinforcement Learning with Shared Control Templates. - Abhishek Padalkar; Gabriel Quere; Franz Steinmetz; Antonin Raffin; Matthias Nieuwenhuisen; João Silvério; Freek Stulp (ICRA, 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)

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; et al. (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds. - Francesco Vezzi; Jiatao Ding; Antonin Raffin; Jens Kober; Cosimo Della Santina (ICRA, 2024)

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. - Antonin Raffin; Olivier Sigaud; Jens Kober; Alin Albu-Schäffer; João Silvério; Freek Stulp (RLJ, 2024)

Tele-Running: Trajectory Generation for Monopod Robots by Teleoperation. - David Wandinger; Annika Schmidt; Antonin Raffin; Alin Albu-Schäffer; Manuel Keppler (SMC, 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; et al. (CoRR, 2024)

Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates. - Abhishek Padalkar; Gabriel Quere; Antonin Raffin; João Silvério; Freek Stulp (Auton. Robots, 2024)