Xuefei Ning
Xuefei Ning
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[arXiv'22] Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
We apply MARL to guide traffic participants to construct valuable hazardous scenarios for under-test policies. We run the proposed VDARS method on Baidu Apollo and other types of driving policies (including learning-based and rule-based ones) and discover diverse AV-responsible hazardous scenarios valuable for further improvements of autonomous driving policies.
Ye Mu
,
Weilin Liu
,
Chao Yu
,
Xuefei Ning
,
Zhong Cao
,
Zelai Xu
,
Yi Wu
,
Shuang Liang
,
Qingmin Liao
,
Huazhong Yang
,
Yu Wang
Last updated on May 7, 2024
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