5 citations · 7 across the 27 of their papers we have counts for
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cs.RO2022
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
Shoaib Azam, Farzeen Munir, Ville Kyrki +2
Learning contextual and spatial environmental representations enhances autonomous vehicle's hazard anticipation and decision-making in complex scenarios. Recent perception systems…
cs.LG2022
DL-DRL: A double-level deep reinforcement learning approach for large-scale task scheduling of multi-UAV
Xiao Mao, Zhiguang Cao, Mingfeng Fan +2
Exploiting unmanned aerial vehicles (UAVs) to execute tasks is gaining growing popularity recently. To solve the underlying task scheduling problem, the deep reinforcement learning…