Date of Publication:2024-05-21
Journal:Neurocomputing
Volume:586
ISSN:0925-2312
Key Words:article; autoencoder; Auto encoders; Communication efficiency; controlled study; Cooperative communication; Efficiency; Fertilizers; Graph neural networks; human; Human resource management; Informative communication; learning; Learning systems; Multi agent; Multi-agent reinforcement learning; Multi agent systems; Mutual informations; nerve cell network; Targeted informative communication; Teammate modeling; Variational auto-encoder