Search Results for author: Antonin Raffin

Found 4 papers, 4 papers with code

Smooth Exploration for Robotic Reinforcement Learning

3 code implementations12 May 2020 Antonin Raffin, Jens Kober, Freek Stulp

We evaluate gSDE both in simulation, on PyBullet continuous control tasks, and directly on three different real robots: a tendon-driven elastic robot, a quadruped and an RC car.

Continuous Control

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

4 code implementations24 Jan 2019 Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, David Filliat

Scaling end-to-end reinforcement learning to control real robots from vision presents a series of challenges, in particular in terms of sample efficiency.

Representation Learning

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

4 code implementations25 Sep 2018 Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, David Filliat

State representation learning aims at learning compact representations from raw observations in robotics and control applications.

Representation Learning

PythonRobotics: a Python code collection of robotics algorithms

2 code implementations31 Aug 2018 Atsushi Sakai, Daniel Ingram, Joseph Dinius, Karan Chawla, Antonin Raffin, Alexis Paques

The focus of the project is on autonomous navigation, and the goal is for beginners in robotics to understand the basic ideas behind each algorithm.

Robotics

Cannot find the paper you are looking for? You can Submit a new open access paper.