Source code for the MSc thesis: Multi-leader Adaptive Cruise Control Systems considering Sensor Measurement Uncertainties based on Deep Reinforcement Learning

doi:10.4121/20436090.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20436090
Datacite citation style:
Ying-Chuan Ni (2022): Source code for the MSc thesis: Multi-leader Adaptive Cruise Control Systems considering Sensor Measurement Uncertainties based on Deep Reinforcement Learning. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/20436090.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software

This repository contains programming codes for the training and simulation of Deep Reinforcement Learning-based Adaptive Cruise Control systems.


For more information, please see the README.txt file in the repository or the report of master thesis titled "Multi-leader Adaptive Cruise Control Systems considering Sensor Measurement Uncertainties based on Deep Reinforcement Learning", which can be found in the reference (link).


history
  • 2022-08-22 first online, published, posted
publisher
4TU.ResearchData
format
Python source code/ .py
organizations
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning.

DATA

files (13)