Yunhan_huang Manipulating Reinforcement Learning Stealthy Attacks on Cost Signals 2020
[TOC] Title: Manipulating Reinforcement Learning Stealthy Attacks on Cost Signals Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals Author: Yunhan Huang et. al. Publish Year: 2020 Review Date: Sun, Dec 25, 2022 Summary of paper Motivation understand the impact of the falsification of cost signals on the convergence of Q-learning algorithm Contribution In Q-learning, we show that Q-learning algorithms converge under stealthy attacks and bounded falsifications on cost signals. and there is a robust region within which the adversarial attacks cannot achieve its objective....