Publications

Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, Joao Silvério, Freek Stulp (2023). An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. RLC 2024.

Preprint PDF Code Project Slides Video

Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, Joao Silvério, Freek Stulp (2022). Learning to Exploit Elastic Actuators for Quadruped Locomotion. SoftRobot 2024.

Preprint Slides Video

Shengyi Huang, Rousslan Fernand Julien Dossa, Antonin Raffin, Anssi Kanervisto, Weixun Wang (2022). The 37 Implementation Details of Proximal Policy Optimization. ICLR Blog Track, 2022.

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

PDF Code Project

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

Preprint PDF Code Project Poster Video

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

Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, David Filliat (2019). Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. In SPiRL Workshop ICLR.

Preprint Code Project

Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, David Filliat (2018). S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. In Deep RL Workshop NIPS.

Preprint Code Project Video

Atsushi Sakai, Daniel Ingram, Joseph Dinius, Karan Chawla, Antonin Raffin, Alexis Paques (2018). PythonRobotics: a Python code collection of robotics algorithms.

Antonin Raffin, Sebastian Höfer, Rico Jonschkowski, Oliver Brock, Freek Stulp (2016). Unsupervised learning of state representations for multiple tasks. In Deep RL Workshop NIPS.