Projects¶

This is a list of projects using stable-baselines. Please tell us when if you want your project to appear on this page ;)

Learning to drive in a day¶

Implementation of reinforcement learning approach to make a donkey car learn to drive. Uses DDPG on VAE features (reproducing paper from wayve.ai)

Author: Roma Sokolkov (@r7vme)

Github repo: https://github.com/r7vme/learning-to-drive-in-a-day

Donkey Gym¶

OpenAI gym environment for donkeycar simulator.

Author: Tawn Kramer (@tawnkramer)

Github repo: https://github.com/tawnkramer/donkey_gym

Self-driving FZERO Artificial Intelligence¶

Series of videos on how to make a self-driving FZERO artificial intelligence using reinforcement learning algorithms PPO2 and A2C.

Author: Lucas Thompson

Video Link

S-RL Toolbox¶

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics. Stable-Baselines was originally developped for this project.

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

Github repo: https://github.com/araffin/robotics-rl-srl

Roboschool simulations training on Amazon SageMaker¶

“In this notebook example, we will make HalfCheetah learn to walk using the stable-baselines […]”

Author: Amazon AWS

Repo Link

MarathonEnvs + OpenAi.Baselines¶

Experimental - using OpenAI baselines with MarathonEnvs (ML-Agents)

Author: Joe Booth (@Sohojoe)

Github repo: https://github.com/Sohojoe/MarathonEnvsBaselines

Learning to drive smoothly in minutes¶

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes. Uses SAC on VAE features.

Author: Antonin Raffin (@araffin)
Blog post: https://towardsdatascience.com/learning-to-drive-smoothly-in-minutes-450a7cdb35f4
Github repo: https://github.com/araffin/learning-to-drive-in-5-minutes