Hierarchical Multi-Agent Reinforcement Learning for Cooperative Wildfire Suppression with Amphibious Firefighting UAVs
Results indicate that the hierarchical architecture provides the most pronounced contribution under the tested settings, while LSTM, the level-specific centralized critics, and hierarchical rewards provide additional performance contributions under the tested settings.
Jian-Feng Xie, Yi-Lin Han, Qi-Ming Yang et al.
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