Conference
Open access
Sep 2026
Self-Improving Autonomous Vehicles via Real-World Reinforcement Learning
End-to-end autonomous driving systems have demonstrated advantages over traditional modular systems. Despite this progress, these end-to-end systems still struggle to be deployed in real-world driving environments, as they inevitably encounter undertrained scenarios in which autonomous vehicles may take unsafe actions....
Daehyeok Kwon, Seung-Woo Seo, Sang-Hyun Lee
· Proceedings of the Thirty-Fi... · 0 citations