no code implementations • 31 Oct 2022 • Enpei Zhang, Shuo Tang, Xiaowen Dong, Siheng Chen, Yanfeng Wang
To fill this gap, we propose a distributed multi-agent learning model inspired by human collaboration, in which the agents can autonomously detect suitable collaborators and refer to collaborators' model for better performance.