SOURCE-LINKED INTELLIGENCE

Multi-Agent Learning with Cooperation-Driven Optimization Dynamics

arXiv · AI, language, vision and robotics · article · Sep 15, 2026 · UTC

Multilayer Artificial Neural Networks trained via backpropagation are the basic blocks of many, more complex, classification algorithms. Their strength lies in the possibility of realizing, with arbitrary precision, any function. This result comes at the cost of the large number of involved parameters to be optimized. In this work, we propose a mechanism for cooperation, i.e., information exchange among several artificial neural networks, with the goal of reducing model complexity while maintaining performance. More precisely, we consider several "small" agents, i.e., containing fewer paramete

Read original source ↗ Open in workspace

recordType

paper

region

Global