# fastrlap-release

**Repository Path**: Rain_redField/fastrlap-release

## Basic Information

- **Project Name**: fastrlap-release
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-02-29
- **Last Updated**: 2024-02-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# FastRLAP Code Release
This repository contains an implementation of FastRLAP for ROS robots, with associated gazebo environments, as well as a MuJoCo environment for offroad driving. To cite the FastRLAP paper, please use the following reference:
```bibtex
@article{stachowicz2023fastrlap,
  title={FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing},
  author={Stachowicz, Kyle and Bhorkar, Arjun and Shah, Dhruv and Kostrikov, Ilya and Levine, Sergey},
  journal={arXiv preprint arXiv:TODO},
  year={2023}
}
```

The ROS implementation, along with installation instructions is in the `fastrlap-ros` directory. The MuJoCo environment is located in the `fastrlap-mujoco-env` directory. The shared implementations of (several) RL algorithms is included in the `jaxrl5` directory.