Adversarial Policies: Attacking Deep Reinforcement Learning

25 May 2019

Adam Gleave

Papers citing "Adversarial Policies: Attacking Deep Reinforcement Learning"

25 / 25 papers shown

Title
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates F. Akkerman Nils Knofius Matthieu van der Heijden M. Mes 50 1 0 04 Oct 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 97 2 0 29 Sep 2024
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 80 1,825 0 06 May 2019
Open-ended Learning in Symmetric Zero-sum Games David Balduzzi M. Garnelo Yoram Bachrach Wojciech M. Czarnecki Julien Perolat Max Jaderberg T. Graepel 42 169 0 23 Jan 2019
Feature Denoising for Improving Adversarial Robustness Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He 76 907 0 09 Dec 2018
On the Geometry of Adversarial Examples Marc Khoury Dylan Hadfield-Menell AAML 29 79 0 01 Nov 2018
Deep Counterfactual Regret Minimization Noam Brown Adam Lerer Sam Gross Tuomas Sandholm 49 214 0 01 Nov 2018
Are adversarial examples inevitable? Ali Shafahi Wenjie Huang Christoph Studer Soheil Feizi Tom Goldstein SILM 46 282 0 06 Sep 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 73 227 0 18 Jul 2018
Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani Yewen Pu Armando Solar-Lezama OffRL 109 331 0 22 May 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 47 45 0 23 Feb 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks J. Uesato Brendan O'Donoghue Aaron van den Oord Pushmeet Kohli AAML 126 600 0 15 Feb 2018
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 41 304 0 11 Dec 2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 99 1,755 0 05 Dec 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 122 5,111 0 10 Nov 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 82 628 0 02 Nov 2017
Emergent Complexity via Multi-Agent Competition Trapit Bansal J. Pachocki Szymon Sidor Ilya Sutskever Igor Mordatch 48 387 0 10 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 208 18,685 0 20 Jul 2017
Deal or No Deal? End-to-End Learning for Negotiation Dialogues M. Lewis Denis Yarats Yann N. Dauphin Devi Parikh Dhruv Batra LLMAG 55 412 0 16 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 116 4,441 0 07 Jun 2017
Delving into adversarial attacks on deep policies Jernej Kos D. Song AAML 47 224 0 18 May 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 76 848 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 49 411 0 08 Mar 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 65 832 0 08 Feb 2017
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 166 14,831 1 21 Dec 2013