Deep-attack over the deep reinforcement learning

• المؤلفون الرئيسيون: Li, Yang, Pan, Quan, Cambria, Erik
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Adversarial Attack; Deep Reinforcement Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162724

Recent adversarial attack developments have made reinforcement learning more vulnerable, and different approaches exist to deploy attacks against it, where the key is how to choose the right timing of the attack. Some work tries to design an attack evaluation function to select critical points that...