Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss
A value-aware extension of Multi-Agent Observation Sharing under Communication Dropout to patch communication gaps is proposed; it is referred to as Value-Aware MARO and dynamically weighting the predictor's loss function using advantage estimates derived from the underlying actor-critic architecture.