The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning

6 August 2020

Amanda Prorok

Papers citing "The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning"

40 / 40 papers shown

Title
Collaborative State Fusion in Partially Known Multi-agent Environments Tianlong Zhou Jun Shang Weixiong Rao 26 0 0 19 Oct 2024
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning Shreyas Muthusamy Damian Owerko Charilaos I. Kanatsoulis Saurav Agarwal Alejandro Ribeiro 15 1 0 29 Sep 2024
A Review of the Applications of Deep Learning-Based Emergent Communication Brendon Boldt David R. Mortensen VLM 27 6 0 03 Jul 2024
CoDreamer: Communication-Based Decentralised World Models Edan Toledo Amanda Prorok 35 0 0 19 Jun 2024
Stimulate the Potential of Robots via Competition K. Huang Di Guo Xinyu Zhang Xiangyang Ji Huaping Liu 14 3 0 15 Mar 2024
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 22 1 0 04 Dec 2023
Autonomous and Adaptive Role Selection for Multi-robot Collaborative Area Search Based on Deep Reinforcement Learning Lina Zhu Jiyu Cheng Hao Zhang Zhichao Cui Wei Zhang Yuehu Liu 36 1 0 04 Dec 2023
Learning Neural Traffic Rules Xuan Zhang Xifeng Gao Kui Wu Zherong Pan 14 0 0 03 Dec 2023
Cooperative AI via Decentralized Commitment Devices Xinyuan Sun Davide Crapis Matt Stephenson B. Monnot Thomas Thiery Jonathan Passerat-Palmbach 27 11 0 14 Nov 2023
Graph learning in robotics: a survey Francesca Pistilli Giuseppe Averta AI4CE GNN 21 7 0 06 Oct 2023
Mediated Multi-Agent Reinforcement Learning Dmitry Ivanov Ilya Zisman Kirill Chernyshev 27 8 0 14 Jun 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL Xiangyu Liu Souradip Chakraborty Yanchao Sun Furong Huang AAML 19 4 0 27 May 2023
Robust Multi-agent Communication via Multi-view Message Certification Lei Yuan T. Jiang Lihe Li F. Chen Zongzhang Zhang Yang Yu 32 2 0 07 May 2023
$N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning$ N $\text{A}^\text{2}$ Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning Zichuan Liu Yuanyang Zhu Chunlin Chen 42 10 0 26 Apr 2023
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots (evolved version) Matthew Cavorsi Orhan Eren Akgün M. Yemini Andrea J. Goldsmith Stephanie Gil 16 1 0 07 Mar 2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication Nancirose Piazza Vahid Behzadan AAML 17 7 0 14 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 42 13 0 07 Feb 2023
Heterogeneous Multi-Robot Reinforcement Learning Matteo Bettini Ajay Shankar Amanda Prorok 22 40 0 17 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 27 5 0 11 Jan 2023
A Cooperative Reinforcement Learning Environment for Detecting and Penalizing Betrayal Nikiforos Pittaras 16 1 0 23 Oct 2022
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots Matthew Cavorsi Orhan Eren Akgün M. Yemini Andrea J. Goldsmith Stephanie Gil 22 11 0 25 Sep 2022
See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation J. Blumenkamp Qingbiao Li Binyu Wang Zhe Liu Amanda Prorok SSL 15 2 0 01 Aug 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 23 10 0 21 Jun 2022
A Critical Review of Communications in Multi-Robot Systems Jennifer Gielis A. Shankar Amanda Prorok 16 65 0 19 Jun 2022
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems Ho Long Fung Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 25 5 0 25 May 2022
Scalable Multi-Agent Model-Based Reinforcement Learning Vladimir Egorov A. Shpilman 10 22 0 25 May 2022
Distributed Reinforcement Learning for Robot Teams: A Review Yutong Wang Mehul Damani Pamela Wang Yuhong Cao Guillaume Sartoretti 39 22 0 07 Apr 2022
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies J. Blumenkamp Steven D. Morad Jennifer Gielis Qingbiao Li Amanda Prorok 22 47 0 02 Nov 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay R. Kumar 90 53 0 25 Sep 2021
Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints M. Mishra Prithvi Poddar Rajat Agrawal Jingxi Chen Pratap Tokekar P. B. Sujit 8 6 0 14 Sep 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning Wanqi Xue Wei Qiu Bo An Zinovi Rabinovich S. Obraztsova C. Yeo AAML 45 34 0 09 Aug 2021
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts Amanda Prorok J. Blumenkamp Qingbiao Li Ryan Kortvelesy Zhe Liu Ethan Stump OffRL 19 5 0 26 Jul 2021
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection Lifeng Zhou V. Sharma Qingbiao Li Amanda Prorok Alejandro Ribeiro Pratap Tokekar Vijay R. Kumar 17 23 0 18 May 2021
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments Lifeng Zhou Pratap Tokekar 32 43 0 02 May 2021
Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization Yoav Alon Huiyu Zhou 46 9 0 31 Dec 2020
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication Rupert Mitchell J. Blumenkamp Amanda Prorok AAML 23 24 0 01 Dec 2020
Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring Jingxi Chen Amrish Baskaran Zhongshun Zhang Pratap Tokekar 9 9 0 02 Nov 2020
Graph Neural Networks for Learning Robot Team Coordination Amanda Prorok GNN 28 12 0 09 May 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 126 285 0 01 May 2018
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016