Deep-attack over the deep reinforcement learning

Deep-attack over the deep reinforcement learning

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...

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書目詳細資料
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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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