Lane Change Decision-Making through Deep Reinforcement Learning

Due to the complexity and volatility of the traffic environment, decision-making in autonomous driving is a significantly hard problem. In this project, we use a Deep Q-Network, along with rule-based constraints to make lane-changing decision. A safe and efficient lane change behavior may be obtaine...

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Bibliographische Detailangaben

Hauptverfasser:	Ghimire, Mukesh, Choudhury, Malobika Roy, Lagudu, Guna Sekhar Sai Harsha
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Robotics
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