Author

Zheng Zheng

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Open access Jun 2026

Failure-Based Testing for Deep Reinforcement Learning Agents

Deep Reinforcement Learning (DRL) agents have been widely adopted across diverse domains to address challenging decision-making problems, such as autonomous driving and robotic control. Given that many of these applications are safety- and security-critical, rigorous testing of DRL agents is indispensable. Existing tes...

Weibin Lin, Jiangtao Meng, Zheng Zheng · Proceedings of the ACM on So... · 0 citations