The F1TENTH Gym environment

This is the repository of the F1TENTH Gym environment.

This project is still under heavy developement.

You can find the documentation of the environment here.

Quickstart

You can install the environment by running:

git clone https://github.com/MTDzi/racing_utils.git
git clone https://github.com/MTDzi/f1tenth_gym.git

mkdir -p ~/venvs
python3 -m venv ~/venvs/f1tenth_gym
source ~/venvs/f1tenth_gym/bin/activate

cd racing_utils
pip install -e .

cd ../f1tenth_gym
pip install -e ./gym/
pip install -r requirements.txt

cd examples
python run_omniward_model.py

Left here from the original repo

If you find this Gym environment useful, please consider citing:

@inproceedings{okelly2020f1tenth,
  title={F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement Learning},
  author={O’Kelly, Matthew and Zheng, Hongrui and Karthik, Dhruv and Mangharam, Rahul},
  booktitle={NeurIPS 2019 Competition and Demonstration Track},
  pages={77--89},
  year={2020},
  organization={PMLR}
}