Jun 8, 2021 · We introduce a new multi-UAV Mobile Edge Computing platform, which aims to provide better Quality-of-Service and path planning based on reinforcement learning.
We introduce a new multi-UAV Mobile Edge Computing platform, which aims to provide better Quality-of-Service and path plan- ning based on reinforcement learning ...
This work introduces a new multi-UAV Mobile Edge Computing platform, which aims to provide better Quality-of-Service and path planning based on ...
We introduce a new multi-UAV Mobile Edge Computing platform, which aims to provide better Quality-of-Service and path planning based on reinforcement learning ...
Apr 27, 2024 · We introduce a new multi-UAV Mobile Edge Computing platform, which aims to provide better Quality-of-Service and path planning based on ...
People also ask
In this paper, we present a multi-UAV path planning and following approach based on multi-agent reinforcement learning. The UAV employs the SAC algorithm as a ...
Compared with the traditional MEC base stations, UAV-MEC has the advantages of high flexibility, wide coverage, faster response, and low-cost [8]. For COP in ...
Missing: Platform | Show results with:Platform
To tackle task offloading and path planning challenges in multi-UAV-assisted mobile edge computing, this paper proposes a task offloading and path ...
Mar 20, 2024 · This paper proposes a Reinforcement Deep Q-Learning based multi-UAV MEC framework to optimize quality of service (QoS) and route planning. The ...
Sep 24, 2022 · This paper proposes a framework to enable the use of UAVs under different MEC architectures, overcomes the drawbacks of centralized architectures, and improves ...