Policy Poisoning in Batch Learning for Linear Quadratic Control Systems via State Manipulation
Author:
Affiliation:
1. Fordham University,Computer & Information Sciences Dept.,New York,NY,10023
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10089615/10089616/10089721.pdf?arnumber=10089721
Reference19 articles.
1. Reinforcement learning for linear quadratic control is vulnerable under cost manipulation;huang;ArXiv Preprint,2022
2. Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
3. Identification of continuous-time systems from samples of input-output data: An introduction
4. Policy poisoning in batch reinforcement learning and control;ma;Advances in neural information processing systems,2019
5. Strategic Trust in Cloud-Enabled Cyber-Physical Systems With an Application to Glucose Control
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1. Adversarial Manipulation of Learning in Linear-Quadratic Zero-Sum Differential Games via Cost Poisoning;2023 IEEE Conference on Communications and Network Security (CNS);2023-10-02
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