Imitation Learning with Graph Neural Networks for Improving Swarm Robustness under Restricted Communications

Imitation Learning with Graph Neural Networks for Improving Swarm Robustness under Restricted Communications

This paper focuses on generating distributed flocking strategies via imitation learning. The primary motivation is to improve the swarm robustness and achieve better consistency while respecting the communication constraints. This paper first proposes a quantitative metric of swarm robustness based...

Full description

Bibliographic Details
Main Authors: Ce Guo, Pengming Zhu, Zhiqian Zhou, Lin Lang, Zhiwen Zeng, Huimin Lu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
swarm robustness
graph importance entropy
graph convolutional networks
imitation learning
Online Access:https://www.mdpi.com/2076-3417/11/19/9055

Internet

https://www.mdpi.com/2076-3417/11/19/9055

Similar Items