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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202918
Abstract: Autonomous maneuvering decisions of unmanned aerial vehicle (UAV) in short-range air combat remain a challenging research topic, and a decision method based on an improved deep deterministic policy gradient (DDPG) is proposed. First, the problem…
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Keywords:
improved deep;
deep deterministic;
based improved;
deterministic policy ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3479322
Abstract: Autonomous collision avoidance technology is the core of unmanned surface vehicles (USVs). Deep reinforcement learning (DRL) is a new approach to avoid collision for USVs. However, most research is based on the assumption of a…
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Keywords:
usvs deep;
deep deterministic;
collision;
prediction ... See more keywords
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Published in 2024 at "IEEE Photonics Technology Letters"
DOI: 10.1109/lpt.2024.3427138
Abstract: In this letter, a design method of broadband digital coding metasurface units based on a novel deep deterministic policy gradient (DDPG) algorithm is proposed. And a reflective-coded metasurface unit with a surface structure randomly arranged…
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Keywords:
deep deterministic;
algorithm;
units based;
metasurface units ... See more keywords
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Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3206096
Abstract: The existing reinforcement learning-based downlink power allocation (PA) schemes mostly consider the power optimization space as a discrete value space, however, their results will deviate from the optimal result in ultra-dense networks, and the deviation…
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Keywords:
deep deterministic;
power;
power allocation;
policy ... See more keywords
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Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2939174
Abstract: Deep deterministic policy gradient (DDPG) has been proved to be a successful reinforcement learning (RL) algorithm for continuous control tasks. However, DDPG still suffers from data insufficiency and training inefficiency, especially, in computationally complex environments.…
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Keywords:
computationally complex;
deep deterministic;
control;
deterministic policy ... See more keywords
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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…
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Keywords:
deep deterministic;
policy gradient;
policy;
multiagent deep ... See more keywords
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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3250284
Abstract: The imbalanced amount of faulty and normal samples seriously affects the performance of intelligent fault diagnosis models. Aiming to solve the above problem, an improved deep deterministic policy gradient (DDPG) algorithm incorporating ResNet, ResDPG, based…
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Keywords:
improved deep;
deep deterministic;
intelligent fault;
deterministic policy ... See more keywords
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Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3325267
Abstract: The continuous evolution of cellular networks has resulted in the rapid increase in both mobile applications and devices in the Internet of Vehicles. The introduction of the multi-access edge computing method makes it possible for…
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Keywords:
policy gradient;
deep deterministic;
computation offloading;
gradient based ... See more keywords
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Published in 2024 at "IEEE Transactions on Power Electronics"
DOI: 10.1109/tpel.2024.3350181
Abstract: Due to its advantages, such as simple structure, high power density, and strong scalability, single-input multiple-output (SIMO) dc–dc converters exhibit vast application prospects. However, a significant challenge arises in the control design of SIMO converters.…
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Keywords:
deep deterministic;
multiple output;
controller;
output ... See more keywords
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Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2023.3347219
Abstract: This study proposes quantum-based deep deterministic policy gradient (Q-DDPG) and quantum-based recurrent DDPG (Q-RDDPG) schemes for time-series optimization in UAV communications. Herein, Q-DDPG-based actor-critic reinforcement learning is utilized to optimize action selections in a large…
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Keywords:
policy gradient;
deep deterministic;
quantum based;
deterministic policy ... See more keywords
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Published in 2025 at "Journal of Circuits, Systems and Computers"
DOI: 10.1142/s0218126625503803
Abstract: This study aims to develop an efficient and accurate intelligent decision-making algorithm for autonomous driving by integrating convolutional neural networks (CNNs) with a deep deterministic policy gradient (DDPG) model. The algorithm first employs a CNN…
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Keywords:
deep deterministic;
algorithm autonomous;
decision;
intelligent decision ... See more keywords