Decentralization of Multiagent Policies by Learning What to Communicate

Decentralization of Multiagent Policies by Learning What to Communicate

24 January 2019

Papers citing "Decentralization of Multiagent Policies by Learning What to Communicate"

10 / 10 papers shown

Title
Accelerated K-Serial Stable Coalition for Dynamic Capture and Resource Defense Junfeng Chen Zili Tang Meng Guo 30 1 0 25 May 2023
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense Elijah S. Lee Lifeng Zhou Alejandro Ribeiro Vijay R. Kumar AAML GNN 32 13 0 23 Jan 2023
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks Elijah S. Lee Lifeng Zhou Alejandro Ribeiro Vijay R. Kumar AAML GNN 18 1 0 24 Sep 2022
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks Ting-Kuei Hu Fernando Gama Tianlong Chen Wenqing Zheng Zhangyang Wang Alejandro Ribeiro Brian M. Sadler GNN 65 18 0 24 Jun 2021
Learning Connectivity for Data Distribution in Robot Teams Ekaterina V. Tolstaya Landon Butler Daniel Mox James Paulos Vijay R. Kumar Alejandro Ribeiro 11 10 0 08 Mar 2021
Neurosymbolic Transformers for Multi-Agent Communication J. Inala Yichen Yang James Paulos Yewen Pu Osbert Bastani Vijay R. Kumar Martin Rinard Armando Solar-Lezama 24 24 0 05 Jan 2021
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 16 59 0 06 Aug 2020
Learning from My Partner's Actions: Roles in Decentralized Robot Teams Dylan P. Losey Mengxi Li Jeannette Bohg Dorsa Sadigh 16 24 0 16 Oct 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks Ekaterina V. Tolstaya Fernando Gama James Paulos George Pappas Vijay R. Kumar Alejandro Ribeiro GNN 26 173 0 25 Mar 2019
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 132 285 0 01 May 2018