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A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies

2 November 2021

Amanda Prorok

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Papers citing "A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies"

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Title
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning Lavanya Ratnabala A. Fedoseev Robinroy Peter Dzmitry Tsetserukou 119 1 0 04 Feb 2025
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control Songyuan Zhang Oswin So Kunal Garg Chuchu Fan AI4CE 129 24 0 25 Jan 2024
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 43 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 Kumar 47 24 0 18 May 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 71 41 0 19 Apr 2021
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture Ryan Kortvelesy Amanda Prorok 86 24 0 24 Mar 2021
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators Miguel Calvo-Fullana Daniel Mox Alexander Pyattaev Jonathan R. Fink Vijay Kumar Alejandro Ribeiro 20 32 0 25 Jan 2021
Latency Analysis of ROS2 Multi-Node Systems Tobias Kronauer Joshwa Pohlmann Maximilian Matthé Till Smejkal G. Fettweis 97 43 0 06 Jan 2021
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning Qingbiao Li Weizhe Lin Zhe Liu Amanda Prorok 80 133 0 26 Nov 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 175 195 0 19 Oct 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 65 59 0 06 Aug 2020
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning Binyu Wang Zhe Liu Qingbiao Li Amanda Prorok 55 229 0 11 May 2020
Graph Neural Networks for Decentralized Multi-Robot Path Planning Qingbiao Li Fernando Gama Alejandro Ribeiro Amanda Prorok 98 248 0 12 Dec 2019
Multi-Robot Path Deconfliction through Prioritization by Path Prospects Wenying Wu S. Bhattacharya Amanda Prorok 49 45 0 06 Aug 2019
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar 48 93 0 08 Jul 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks Ekaterina V. Tolstaya Fernando Gama James Paulos George Pappas Vijay Kumar Alejandro Ribeiro GNN 96 173 0 25 Mar 2019
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning Guillaume Sartoretti Justin Kerr Yunfei Shi Glenn Wagner T. K. S. Kumar Sven Koenig Howie Choset 109 318 0 10 Sep 2018
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 596 7,485 0 04 Apr 2017
The Robotarium: A remotely accessible swarm robotics research testbed Daniel Pickem Paul Glotfelter Li Wang Mark L. Mote Aaron D. Ames E. Feron M. Egerstedt 30 327 0 15 Sep 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 152 1,614 0 21 May 2016