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The multiagent pursuit-evasion game (PEG) with obstacle avoidance remains a challenging cooperative-competitive problem. A key difficulty is achieving effective cooperation and obstacle avoidance in nonstationary environments. Previous studies typically assume that agents can automatically obtain accurate obstacle posi...
The evolution of uncrewed aerial vehicles (UAVs) into embodied intelligent agents in the low-altitude economy is reshaping edge computing networks. However, the high mobility of UAVs induces severe topology dynamics, limiting the efficacy of traditional fully connected multiagent reinforcement learning because of dimen...
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