Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies

20 February 2024

Furong Huang

Papers citing "Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies"

22 / 22 papers shown

Title
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 38 49 0 12 Oct 2022
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun Ruijie Zheng Yongyuan Liang Furong Huang AAML 45 65 0 09 Jun 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 154 532 0 04 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 94 165 0 21 Jan 2021
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 62 94 0 27 Oct 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 71 51 0 02 Sep 2020
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 75 95 0 05 Aug 2020
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition Chi Jin Tiancheng Jin Haipeng Luo S. Sra Tiancheng Yu 75 104 0 03 Dec 2019
Introduction to Online Convex Optimization Elad Hazan OffRL 175 1,932 0 07 Sep 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 77 255 0 21 Aug 2019
Optimal Attacks on Reinforcement Learning Policies Alessio Russo Alexandre Proutiere AAML 41 42 0 31 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Yue Liu D. Song AAML 51 70 0 21 Jul 2019
Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals Yunhan Huang Quanyan Zhu OffRL AAML 108 86 0 24 Jun 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin Chi Jin Michael I. Jordan 123 507 0 02 Jun 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 80 355 0 25 May 2019
Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler Yonathan Efroni Shie Mannor 67 235 0 26 Jan 2019
Delving into adversarial attacks on deep policies Jernej Kos D. Song AAML 59 226 0 18 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 95 855 0 08 Mar 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 85 415 0 08 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 370 7,323 0 13 Jun 2016
Explore no more: Improved high-probability regret bounds for non-stochastic bandits Gergely Neu 381 183 0 10 Jun 2015