Trajectory Design and Access Control for Air–Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3062091
Abstract: Unmanned-aerial-vehicle (UAV)-assisted communications has attracted increasing attention recently. This article investigates air–ground coordinated communications system, in which trajectories of air UAV base stations (UAV-BSs) and access control of ground users (GUs) are jointly optimized. We… read more here.
Keywords: ground; air ground; coordinated communications; multiagent deep ... See more keywords
Multiagent Deep Reinforcement Learning for Wireless-Powered UAV Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3150616
Abstract: Unmanned aerial vehicles (UAVs) have attracted much attention lately and are being used in a multitude of applications. But the duration of being in the sky remains to be an issue due to their energy… read more here.
Keywords: wireless; reinforcement learning; transfer; deep reinforcement ... See more keywords
An Online Distributed Satellite Cooperative Observation Scheduling Algorithm Based on Multiagent Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3009823
Abstract: The provision of real-time information services is one of the crucial functions of satellites. In comparison with the centralized scheduling, the distributed scheduling can provide better robustness and extendibility. However, the existing distributed satellite scheduling… read more here.
Keywords: distributed satellite; time; reinforcement learning; multiagent deep ... See more keywords
A Multiagent Deep Reinforcement Learning-Enabled Dual-Branch Damping Controller for Multimode Oscillation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2022.3176736
Abstract: This study develops a multiagent deep reinforcement learning (MADRL)-enabled framework for the decentralized cooperative control of a novel dual-branch (DB) damping controller for both low-frequency oscillation (LFO) and ultralow-frequency oscillation (ULFO). It has two branches,… read more here.
Keywords: reinforcement learning; deep reinforcement; controller; dual branch ... See more keywords
Expert System-Based Multiagent Deep Deterministic Policy Gradient for Swarm Robot Decision Making.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3228578
Abstract: In this article, an expert system-based multiagent deep deterministic policy gradient (ESB-MADDPG) is proposed to realize the decision making for swarm robots. Multiagent deep deterministic policy gradient (MADDPG) is a multiagent reinforcement learning algorithm proposed… read more here.
Keywords: deep deterministic; policy gradient; policy; multiagent deep ... See more keywords
Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3088407
Abstract: Technological advancements of urban informatics and vehicular intelligence have enabled connected smart vehicles as pervasive edge computing platforms for a plethora of powerful applications. However, varies types of smart vehicles with distinct capacities, diverse applications… read more here.
Keywords: digital twin; deep reinforcement; multiagent deep; edge computing ... See more keywords
A Multiagent Deep Reinforcement Learning Based Approach for the Optimization of Transformer Life Using Coordinated Electric Vehicles
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DOI: 10.1109/tii.2021.3139650
Abstract: The uncertainties of charging behavior of electric vehicle (EV) owners have a negative impact on the loss of life (LOL) of distribution transformer. This article proposes a decentralized EV charging framework for optimization of the… read more here.
Keywords: reinforcement learning; deep reinforcement; life; multiagent deep ... See more keywords
Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control
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DOI: 10.1109/tii.2022.3143175
Abstract: CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key technology for security in smart city environments.This article creates a case where the UAVs with CCTV-cameras fly over the city area for flexible and… read more here.
Keywords: reinforcement learning; surveillance; reliable surveillance; deep reinforcement ... See more keywords