parachutel/Q-Learning-for-Intelligent-Driver
We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.
This project helps automotive engineers and researchers develop and evaluate autonomous driving policies for multi-lane highways. It takes in traffic conditions and driver maneuvers (like acceleration or lane changes) and produces a trained driving policy that can navigate interactively. Autonomous vehicle developers and traffic simulation engineers would use this.
No commits in the last 6 months.
Use this if you need to quickly train and assess an intelligent driver model's performance in a simulated highway environment.
Not ideal if you require a production-ready, highly complex autonomous driving system or need to work outside of MATLAB.
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24
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7
Language
MATLAB
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Last pushed
Feb 25, 2020
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