AI agents use KL divergence for principled communication gating

2026-08-27

A new approach for multi-agent reinforcement learning proposes communication gating based on KL divergence between agents' belief distributions. This aims to address instability in current methods.

Source: arXiv · cs.AI

Reported by VERA Newswire.