Robustifying Reinforcement Learning Agents via Action Space Adversarial Training

14 July 2020

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

25 / 25 papers shown

Title
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning Yasaman Esfandiari Aditya Balu K. Ebrahimi Umesh Vaidya N. Elia Soumik Sarkar OOD 37 3 0 18 Oct 2019
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents Xian Yeow Lee Sambit Ghadai Kai Liang Tan Chinmay Hegde Soumik Sarkar AAML 63 50 0 05 Sep 2019
Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler Yonathan Efroni Shie Mannor 71 235 0 26 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 137 2,551 0 24 Jan 2019
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 90 44 0 16 Jul 2018
DARTS: Deceiving Autonomous Cars with Toxic Signs Chawin Sitawarin A. Bhagoji Arsalan Mosenia M. Chiang Prateek Mittal AAML 94 235 0 18 Feb 2018
Attack Analysis and Resilient Control Design for Discrete-time Distributed Multi-agent Systems Aquib Mustafa H. Modares AAML 25 69 0 03 Jan 2018
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 68 306 0 11 Dec 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 157 2,153 0 21 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 310 12,069 0 19 Jun 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 95 859 0 08 Mar 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks Vahid Behzadan Arslan Munir AAML SILM 72 277 0 16 Jan 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 472 3,144 0 04 Nov 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,077 0 05 Jun 2016
Measuring Neural Net Robustness with Constraints Osbert Bastani Yani Andrew Ioannou Leonidas Lampropoulos Dimitrios Vytiniotis A. Nori A. Criminisi AAML 89 424 0 24 May 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,678 0 08 Feb 2016
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 111 3,072 0 14 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,641 0 22 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,776 0 19 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial Examples S. Gu Luca Rigazio AAML 76 843 0 11 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 275 14,927 1 21 Dec 2013
Secure estimation and control for cyber-physical systems under adversarial attacks Hamza Fawzi Paulo Tabuada Suhas Diggavi AAML 95 1,154 0 22 May 2012