HiComm proposes a plug-in hierarchical communication protocol for cooperative MARL that performs structured information retrieval over observation hierarchies using receiver queries and three-stage decoding, matching or outperforming baselines while reducing volume by up to 23×.
Deep implicit coordina- tion graphs for multi-agent reinforcement learning
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HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning
HiComm proposes a plug-in hierarchical communication protocol for cooperative MARL that performs structured information retrieval over observation hierarchies using receiver queries and three-stage decoding, matching or outperforming baselines while reducing volume by up to 23×.