A framework for improving UAV decision of autonomous navigation from training to application migration under perceptual uncertainty
Yuanyuan Sheng,
Huanyu Liu,
Junbao Li
et al.
Abstract:Unmanned Aerial Vehicles (UAVs) autonomous navigation based on reinforcement learning (RL) usually requires training agents in simulation scenarios and then transferring the trained agents to application scenarios. However, due to serious distribution mismatch between the idealized simulation scenario and the application environment and the inevitable uncertainty perception problem of airborne sensors in complex scenarios, the navigation performance of UAV under migration applications is not ideal. This work f… Show more
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