Adaptive Multi-Agent Continuous Learning System
Computer Vision and Pattern Recognition
2023-04-05 v2 Multiagent Systems
Abstract
We propose an adaptive multi-agent clustering recognition system that can be self-supervised driven, based on a temporal sequences continuous learning mechanism with adaptability. The system is designed to use some different functional agents to build up a connection structure to improve adaptability to cope with environmental diverse demands, by predicting the input of the agent to drive the agent to achieve the act of clustering recognition of sequences using the traditional algorithmic approach. Finally, the feasibility experiments of video behavior clustering demonstrate the feasibility of the system to cope with dynamic situations. Our work is placed here\footnote{https://github.com/qian-git/MAMMALS}.
Cite
@article{arxiv.2212.07646,
title = {Adaptive Multi-Agent Continuous Learning System},
author = {Xingyu Qian and Aximu Yuemaier and Longfei Liang and Wen-Chi Yang and Xiaogang Chen and Shunfen Li and Weibang Dai and Zhitang Song},
journal= {arXiv preprint arXiv:2212.07646},
year = {2023}
}