Curriculum-based heterogeneous-agent PPO algorithm yields over 30% better sensing performance than baselines in simulated multi-UAV ISAC tasks.
Collaborative reinforcement learning based unmanned aerial vehicle (UA V) trajectory design for 3D UA V tracking
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Curriculum-Guided Heterogeneous Multi-Agent Intelligence for Multi-UAV Cooperative ISAC
Curriculum-based heterogeneous-agent PPO algorithm yields over 30% better sensing performance than baselines in simulated multi-UAV ISAC tasks.