Stealthy and efficient adversarial attacks against deep reinforcement learning

Stealthy and efficient adversarial attacks against deep reinforcement learning

Adversarial attacks against conventional Deep Learning (DL) systems and algorithms have been widely studied, and various defenses were proposed. However, the possibility and feasibility of such attacks against Deep Reinforcement Learning (DRL) are less explored. As DRL has achieved great success in...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	SUN, Jianwen, ZHANG, Tianwei, XIE, Xiaofei, MA, Lei, ZHENG, Yan, CHEN, Kangjie, LIU, Yang
التنسيق:	text
اللغة:	English
منشور في:	Institutional Knowledge at Singapore Management University 2020
الموضوعات:	Software Engineering
الوصول للمادة أونلاين:	https://ink.library.smu.edu.sg/sis_research/7116 https://ink.library.smu.edu.sg/context/sis_research/article/8119/viewcontent/6047_Article_Text_9272_1_10_20200513.pdf
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة:	Singapore Management University
اللغة:	English

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