Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning

20 February 2020

Papers citing "Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning"

9 / 9 papers shown

Title
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 42 4 0 12 Dec 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 13 2 0 22 Mar 2022
Pessimistic Model Selection for Offline Deep Reinforcement Learning Chao-Han Huck Yang Zhengling Qi Yifan Cui Pin-Yu Chen OffRL 24 4 0 29 Nov 2021
Neural Network Verification in Control M. Everett AAML 34 16 0 30 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 38 81 0 01 Sep 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 26 14 0 18 Feb 2021
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning Feng Wang Chen Zhong M. C. Gursoy Senem Velipasalar AAML 18 8 0 12 Jul 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 13 41 0 11 Apr 2020
Evolving Neural Networks through a Reverse Encoding Tree Haoling Zhang Chao-Han Huck Yang Hector Zenil N. Kiani Yue-Hong Shen Jesper N. Tegnér 19 5 0 03 Feb 2020