Agentic AI Networking for Heterogeneous Unmanned Aerial Systems in Low-Altitude Wireless Networks
This work proposes a hierarchical hybrid large language model- multi-agent reinforcement learning (MARL) architecture organized as a dual-loop structure that facilitates coordinated coexistence among heterogeneous services, adapting to evolving operating conditions without retraining the underlying MARL policies.
Q. D. M. Nguyen, Chang Liu, Shuang-Yang Li et al.
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