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[Цитат][C] Action Correction-Enhanced Multi-Agent Reinforcement Learning for Path Planning in Urban Environments

H Pan, L Han, J Yan, R Liu - Unmanned Systems, 2025 - World Scientific
In urban environments, the path planning of unmanned aerial vehicles (UAVs) presents
significant challenges, particularly since they are tasked with executing various operations in …
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