Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments

16 February 2021

Papers citing "Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments"

25 / 25 papers shown

Title
Optimally Installing Strict Equilibria Jeremy McMahan Young Wu Yudong Chen Xiaojin Zhu Qiaomin Xie 50 0 0 05 Mar 2025
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning Oubo Ma L. Du Yang Dai Chunyi Zhou Qingming Li Yuwen Pu Shouling Ji 41 0 0 28 Jan 2025
Online Poisoning Attack Against Reinforcement Learning under Black-box Environments Jianhui Li Bokang Zhang Junfeng Wu AAML OffRL OnRL 85 1 0 01 Dec 2024
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph Qing Fu Tenghai Qiu Jianqiang Yi Zhiqiang Pu Xiaolin Ai 14 1 0 26 Mar 2024
Camouflage Adversarial Attacks on Multiple Agent Systems Ziqing Lu Guanlin Liu Lifeng Lai Weiyu Xu AAML 11 0 0 30 Jan 2024
Adaptive Discounting of Training Time Attacks Ridhima Bector Abhay M. S. Aradhya Chai Quek Zinovi Rabinovich AAML 21 0 0 05 Jan 2024
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning Jing Cui Yufei Han Yuzhe Ma Jianbin Jiao Junge Zhang AAML 14 12 0 19 Dec 2023
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems Ziqing Lu Guanlin Liu Lifeng Lai Weiyu Xu AAML 16 1 0 01 Nov 2023
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value Young Wu Jeremy McMahan Yiding Chen Yudong Chen Xiaojin Zhu Qiaomin Xie 11 4 0 01 Nov 2023
Adversarial Attacks on Combinatorial Multi-Armed Bandits R. Balasubramanian Jiawei Li Prasad Tadepalli Huazheng Wang Qingyun Wu Haoyu Zhao AAML 29 2 0 08 Oct 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning Guanlin Liu Lifeng Lai AAML 33 6 0 15 Jul 2023
Data Poisoning to Fake a Nash Equilibrium in Markov Games Young Wu Jeremy McMahan Xiaojin Zhu Qiaomin Xie OffRL 11 2 0 13 Jun 2023
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 27 4 0 12 Dec 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 25 4 0 30 Oct 2022
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning A. Rangi Haifeng Xu Long Tran-Thanh M. Franceschetti AAML OffRL 6 19 0 29 Aug 2022
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning Qing Fu Tenghai Qiu Zhiqiang Pu Jianqiang Yi Wanmai Yuan 26 2 0 05 Aug 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 24 27 0 15 Jun 2022
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning Young Wu Jermey McMahan Xiaojin Zhu Qiaomin Xie AAML OffRL 12 15 0 04 Jun 2022
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning Yinglun Xu Qi Zeng Gagandeep Singh AAML 12 5 0 30 May 2022
Efficient Action Poisoning Attacks on Linear Contextual Bandits Guanlin Liu Lifeng Lai AAML 14 4 0 10 Dec 2021
When Are Linear Stochastic Bandits Attackable? Huazheng Wang Haifeng Xu Hongning Wang AAML 19 10 0 18 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 17 34 0 09 Oct 2021
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs A. Rangi M. J. Khojasteh M. Franceschetti AAML 20 9 0 21 Nov 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 104 194 0 07 Feb 2020
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 192 1,325 0 05 Jun 2016