Robust Adversarial Reinforcement Learning

8 March 2017

Papers citing "Robust Adversarial Reinforcement Learning"

50 / 179 papers shown

Title
Neural Network Verification in Control M. Everett AAML 34 16 0 30 Sep 2021
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 76 96 0 29 Sep 2021
Towards Resilient Artificial Intelligence: Survey and Research Issues Oliver Eigner Sebastian Eresheim Peter Kieseberg Lukas Daniel Klausner Martin Pirker Torsten Priebe S. Tjoa Fiammetta Marulli F. Mercaldo AI4CE 11 18 0 18 Sep 2021
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
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games Xiaotie Deng Ningyuan Li D. Mguni Jun Wang Yaodong Yang 21 46 0 04 Sep 2021
Investigating Vulnerabilities of Deep Neural Policies Ezgi Korkmaz AAML 16 33 0 30 Aug 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control Wanpeng Zhang Xiaoyan Cao Yaowen Yao Zhicheng An Xi Xiao Dijun Luo OffRL 33 18 0 26 Aug 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 39 16 0 23 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 30 5 0 09 Jul 2021
Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents Eric Zhao Alexander R. Trott Caiming Xiong Stephan Zheng OffRL 14 1 0 10 Jun 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning Sebastian Curi Ilija Bogunovic Andreas Krause 39 17 0 18 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 38 174 0 10 Mar 2021
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning Masao Shinzaki Yusuke Koda Koji Yamamoto Takayuki Nishio M. Morikura Y. Shirato D. Uchida N. Kita 20 6 0 16 Feb 2021
Disturbing Reinforcement Learning Agents with Corrupted Rewards Rubén Majadas Javier A. García Fernando Fernández AAML 11 6 0 12 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 27 26 0 10 Feb 2021
Risk-Averse Bayes-Adaptive Reinforcement Learning Marc Rigter Bruno Lacerda Nick Hawes 22 41 0 10 Feb 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
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 22 35 0 02 Jan 2021
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 30 5 0 27 Nov 2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 28 29 0 21 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 31 12 0 20 Nov 2020
Fault-Aware Robust Control via Adversarial Reinforcement Learning Fan Yang Chao Yang Di Guo Huaping Liu F. Sun 36 4 0 17 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency Junwei Zhang Zhenghao Zhang Shuai Han Shuai Lu 24 41 0 11 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani E. Hossain 35 236 0 06 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 16 90 0 27 Oct 2020
Adaptive extra-gradient methods for min-max optimization and games Kimon Antonakopoulos E. V. Belmega P. Mertikopoulos 54 46 0 22 Oct 2020
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models Ferhat Ozgur Catak Samed Sivaslioglu Kevser Sahinbas AAML 23 7 0 17 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 29 120 0 08 Oct 2020
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 38 92 0 05 Aug 2020
Robust Reinforcement Learning using Adversarial Populations Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel Alexandre M. Bayen AAML 49 79 0 04 Aug 2020
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training Kai Liang Tan Yasaman Esfandiari Xian Yeow Lee Aakanksha S. Sarkar AAML 21 55 0 14 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 35 159 0 08 Jul 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 32 125 0 22 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 29 103 0 17 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks Yuesong Tian Li Shen Li Shen Guinan Su Zhifeng Li Wei Liu GAN 31 32 0 16 Jun 2020
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos V. Cevher 27 81 0 16 Jun 2020
Robust Reinforcement Learning with Wasserstein Constraint Linfang Hou Liang Pang Xin Hong Yanyan Lan Zhiming Ma Dawei Yin 19 24 0 01 Jun 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 19 95 0 20 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 37 124 0 14 May 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
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 11 495 0 02 Apr 2020
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory Mert Albaba Y. Yildiz OffRL 8 48 0 24 Mar 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 29 16 0 24 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 152 458 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 17 167 0 10 Mar 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha Matthew O'Kelly Hongrui Zheng Rahul Mangharam John C. Duchi Russ Tedrake OffRL 66 26 0 09 Mar 2020
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning Chao-Han Huck Yang Jun Qi Pin-Yu Chen Ouyang Yi I-Te Danny Hung Chin-Hui Lee Xiaoli Ma AAML 13 29 0 20 Feb 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics Parameswaran Kamalaruban Yu-ting Huang Ya-Ping Hsieh Paul Rolland C. Shi V. Cevher 23 59 0 14 Feb 2020
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kaipeng Zhang Bin Hu Tamer Basar 24 119 0 21 Oct 2019
Towards Deployment of Robust AI Agents for Human-Machine Partnerships Ahana Ghosh Sebastian Tschiatschek Hamed Mahdavi Adish Singla 24 9 0 05 Oct 2019