NoGap Benchmark

A CARLA-based sim-to-real autonomus driving benchmark considering visual gaps, dynamics gaps and scenario gaps, proposed in "A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving" (https://arxiv.org/abs/2110.11573)

Citation

If you are using NoGap Benchmark for your project development, please cite the following paper:

@inproceedings{
  wang2022a,
  title={A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving},
  author={Guan Wang and Haoyi Niu and Desheng Zhu and Jianming Hu and Xianyuan Zhan and Guyue Zhou},
  booktitle={NeurIPS 2022 Machine Learning for Autonomous Driving Workshop},
  year={2022}
}