English(EN) Security of Deep Reinforcement Learning for Autonomous Driving: A Survey

调查报告详述了深度强化学习在自动驾驶中的安全风险

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 04:00

一篇新发表在arXiv上的调查论文，研究了深度强化学习（RL）算法应用于自动驾驶系统时的安全漏洞。该论文根据威胁模型和代理设置对各种攻击和防御进行了分类，旨在提供比现有文献更全面的指南。它特别分析了这些安全措施在自动驾驶背景下的适用性，以帮助开发更强大的RL系统。 AI

影响强调了将深度强化学习应用于安全关键型自动驾驶系统所面临的安全挑战。

排序理由该集群包含一篇关于特定研究主题的学术调查论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Ambra Demontis, Srishti Gupta, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli · 2026-10-28 04:00

面向自动驾驶的深度强化学习安全性：一项调查

arXiv:2212.06123v4 Announce Type: replace Abstract: Reinforcement learning (RL) enables agents to learn optimal behaviors through interaction with their environment and has been increasingly deployed in safety-critical applications, including autonomous driving. Despite its promi…