/DDQN_for_Vehicle_Overtake

This projects trained the vehicle agent with the DDQN algorithm to perform safely overtake in the Highway Environment.

Primary LanguagePython

Reinforcement Learning for Vehicle Overtake

In this project, we trained a DDQN agent to solve the autonomous vehicle highway overtake problem based on a well-built gym-like highway environment.

Quick Demo

The green vehicle is the ego-vehicle, trained with the DDQN algorithm. Blue vehicles are the traditional human-driven vehicles.

Authors

Haishan Liu, phd candidate in UC Riverside

Acknowledgments