Agent manipulator: Stealthy strategy attacks on deep reinforcement learning

Author:

Chen JinyinORCID,Wang Xueke,Zhang Yan,Zheng Haibin,Yu Shanqing,Bao Liang

Funder

National Natural Science Foundation of China

National Key Laboratory of Science and Tecknology on Information System Security

Key R&D Programs of Zhejiang Province

Natural Science Foundation of Zhejiang Province

Key Lab of Ministry of Public Security

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference52 articles.

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2. Yang Y, Vamvoudakis KG, Modares H (2020) Safe reinforcement learning for dynamical games. Int J Robust Nonlinear Control 30(9):3706–3726

3. Yang X, He H, Wei Q, Luo B (2018) Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties. Inf Sci 463:307–322

4. Fayjie AR, Hossain S, Oualid D, Lee DJ (2018) Driverless car: Autonomous driving using deep reinforcement learning in urban environment. In: 2018 15th international conference on ubiquitous robots UR, IEEE, pp 896–901

5. Prasad N, Cheng LF, Chivers C, Draugelis M, Engelhardt BE (2017) A reinforcement learning approach to weaning of mechanical ventilation in intensive care units. In: 33Rd conference on uncertainty in artificial intelligence

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