Robustifying Reinforcement Learning Agents via Action Space Adversarial Training

14 July 2020

Papers citing "Robustifying Reinforcement Learning Agents via Action Space Adversarial Training"

9 / 9 papers shown

Title
Towards a constructive framework for control theory Pavel Osinenko 28 2 0 04 Jan 2025
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 27 18 0 15 Jul 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 36 4 0 12 Dec 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 20 47 0 12 Oct 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 37 27 0 15 Jun 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 11 2 0 22 Mar 2022
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes Alessio Russo Alexandre Proutière AAML 30 6 0 15 Sep 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 64 162 0 21 Jan 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016