Zheng Yang

Information Bottleneck for Communication-Efficient Multi-Agent Reinforcement Learning in UAV Swarms

IB-CEMARL is proposed, an information-bottleneck-guided, communication-efficient multi-agent reinforcement learning framework for UAV swarms that achieves superior cooperative performance, reduced message redundancy, and stronger robustness compared with representative communication-aware MARL baselines.