Articles with "maddpg" as a keyword



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UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning

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Published in 2020 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2020.3014788

Abstract: Unmanned aerial vehicles (UAVs) can be employed as aerial base stations to support communication for the ground users (GUs). However, the aerial-to-ground (A2G) channel link is dominated by line-of-sight (LoS) due to the high flying… read more here.

Keywords: secure; agent deep; reinforcement learning; multi agent ... See more keywords
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Distributed Federated Deep Reinforcement Learning Based Trajectory Optimization for Air-Ground Cooperative Emergency Networks

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Published in 2022 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2022.3175592

Abstract: The air-ground cooperative emergency networks can assist with the rapid reconstruction of communication in the disaster area, where unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) are deployed as base stations. The trajectory optimization… read more here.

Keywords: emergency; trajectory optimization; air ground; maddpg ... See more keywords