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MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
v1v2 (latest)

MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning

4 February 2025
Lavanya Ratnabala
A. Fedoseev
Robinroy Peter
Dzmitry Tsetserukou
ArXiv (abs)PDFHTML

Papers citing "MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning"

9 / 9 papers shown
Title
Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming
Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming
Nan Li
Jiming Ren
Haris Miller
Samuel Coogan
Karen Feigh
Ye Zhao
136
0
0
15 Oct 2025
Attention-Augmented Inverse Reinforcement Learning with Graph Convolutions for Multi-Agent Task Allocation
Attention-Augmented Inverse Reinforcement Learning with Graph Convolutions for Multi-Agent Task Allocation
Huilin Yin
Zhikun Yang
Linchuan Zhang
Daniel Watzenig
301
0
0
07 Apr 2025
Dynamic Subgoal based Path Formation and Task Allocation: A NeuroFleets
  Approach to Scalable Swarm Robotics
Dynamic Subgoal based Path Formation and Task Allocation: A NeuroFleets Approach to Scalable Swarm RoboticsIEEE International Conference on Systems, Man and Cybernetics (SMC), 2024
Robinroy Peter
Lavanya Ratnabala
Eugene Yugarajah Andrew Charles
Dzmitry Tsetserukou
85
4
0
01 Sep 2024
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization
Graph-based Decentralized Task Allocation for Multi-Robot Target LocalizationIEEE Robotics and Automation Letters (RA-L), 2023
Juntong Peng
Hrishikesh Viswanath
Kshitij Tiwari
244
8
0
16 Sep 2023
Research on Multi-Agent Communication and Collaborative Decision-Making
  Based on Deep Reinforcement Learning
Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning
Zeng Da
81
4
0
23 May 2023
RTAW: An Attention Inspired Reinforcement Learning Method for
  Multi-Robot Task Allocation in Warehouse Environments
RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2022
Aakriti Agrawal
Amrit Singh Bedi
Tianyi Zhou
214
29
0
13 Sep 2022
A Framework for Real-World Multi-Robot Systems Running Decentralized
  GNN-Based Policies
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2021
J. Blumenkamp
Steven D. Morad
Jennifer Gielis
Qingbiao Li
Amanda Prorok
291
55
0
02 Nov 2021
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
499
1,857
0
30 Mar 2018
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive EnvironmentsNeural Information Processing Systems (NeurIPS), 2017
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
666
5,225
0
07 Jun 2017
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