@misc{https://doi.org/10.4121/20436090.v1,
  doi = {10.4121/20436090.v1},
  url = {https://data.4tu.nl/articles/software/Source_code_for_the_MSc_thesis_Multi-leader_Adaptive_Cruise_Control_Systems_considering_Sensor_Measurement_Uncertainties_based_on_Deep_Reinforcement_Learning/20436090/1},
  author = {Ni, Ying-Chuan},
  keywords = {adaptive cruise control, multi-anticipation, string stability, deep reinforcement learning, measurement uncertainties, ride comfort, Kalman filter},
  title = {Source code for the MSc thesis: Multi-leader Adaptive Cruise Control Systems considering Sensor Measurement Uncertainties based on Deep Reinforcement Learning},
  publisher = {4TU.ResearchData},
  year = {2022},
  copyright = {CC0},
}