Antonin RAFFIN's repositories
rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
robotics-rl-srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
tools-for-robotic-rl-icra2022
Tutorial: Tools for Robotic Reinforcement Learning, Hands-on RL for Robotics with EAGER and Stable-Baselines3
rl-handson-rlvs21
Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
aae-train-donkeycar
Code used to train an augmented auto-encoder (aka denoising auto-encoder with more augmentations) for the DonkeyCar simulator.
gym-donkeycar-1
OpenAI gym environment for donkeycar simulator
awesome-real-world-rl
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
academic-kickstart
Easily create a beautiful website using Academic and Hugo
rrc_simulation
Simulation for the Real Robot Challenge (https://real-robot-challenge.com)
araffin.github.io
Personal Homepage
BackgroundMattingV2
Real-Time High-Resolution Background Matting
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
eagerx
EAGERx is a physics engine abstraction layer for reinforcement learning. EAGERx allows switching between simulators and reality with a single line of code, supports action and observation processing and controller switching for resets.
eagerx_gui
The eagerx_gui package provides gui functionallity for EAGERx.
eagerx_tutorials
Tutorials on how to use EAGERx
highway-env
A minimalist environment for decision-making in autonomous driving
huggingface_sb3
Additional code for Stable-baselines3 to load and upload models from the Hub.
microrts-ppo-comparison
Compare PPO implementation performance on microrts gym env