Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning

15 July 2023

Papers citing "Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning"

8 / 8 papers shown

Title
A Model Selection Approach for Corruption Robust Reinforcement Learning Chen-Yu Wei Christoph Dann Julian Zimmert 80 44 0 31 Dec 2024
Online Poisoning Attack Against Reinforcement Learning under Black-box Environments Jianhui Li Bokang Zhang Junfeng Wu AAML OffRL OnRL 90 1 0 01 Dec 2024
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning Zhi Luo X. J. Yang Pan Zhou D. Wang AAML 71 0 0 20 Nov 2024
Camouflage Adversarial Attacks on Multiple Agent Systems Ziqing Lu Guanlin Liu Lifeng Lai Weiyu Xu AAML 26 1 0 30 Jan 2024
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems Ziqing Lu Guanlin Liu Lifeng Lai Weiyu Xu AAML 24 2 0 01 Nov 2023
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski A. H. Sayed AAML 35 1 0 23 Mar 2023
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning Lun Wang Zaynah Javed Xian Wu Wenbo Guo Xinyu Xing D. Song AAML 160 64 0 02 May 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 38 37 0 16 Feb 2021