Withdrawn UAV resource management paper proposed Stackelberg game and DRL

A research paper, since withdrawn, proposed a novel framework for managing resources in low-altitude economies dominated by Unmanned Aerial Vehicles (UAVs). The approach integrates communication latency with physical control stability using Lyapunov theory and formulates resource allocation as a Stackelberg game. To address computational constraints on UAVs, a pruning-based Proximal Policy Optimization algorithm was developed to efficiently approximate game equilibria. AI

IMPACT This research explored integrating control stability with communication constraints for UAVs, potentially influencing future autonomous systems.

RANK_REASON The cluster contains a withdrawn academic paper detailing a novel approach to resource management using game theory and DRL. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Proximal Policy Optimization
• Stackelberg
• unmanned aerial vehicle
• Yue Zhong

• paper
• other

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