Deep-attack over the deep reinforcement learning

• Main Authors: Li, Yang, Pan, Quan, Cambria, Erik
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Computer science and engineering; Adversarial Attack; Deep Reinforcement Learning
• 在線閱讀: 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...