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What is Digital Twin for Multi-UAV Path Planning about?

This conference paper presents a digital twin-based deep reinforcement learning (DRL) training framework for multi-UAV path planning, addressing the limitations of traditional simulation environments. The proposed framework, called DT-DRL, utilizes a deep deterministic policy gradient (DDPG) algorithm to improve the training and deployment of UAVs in real-world scenarios. The results indicate that the DT-DRL approach significantly enhances path planning performance, achieving higher mean rewards and improve

Author

testai3351

Language

EN