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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3137821
Abstract: Reinforcement learning can achieve excellent performance in the field of robotic grasping if the grasping target is stable. However, during applications in the real world, robot needs to overcome the effects of a complex working…
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Keywords:
deep attentive;
deterministic policy;
policy gradient;
attentive deterministic ... See more keywords
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1
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 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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2
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 2020 at "Energies"
DOI: 10.3390/en13195027
Abstract: Balancing energy generation and consumption is essential for smoothing the power grids. The mismatch between energy supply and demand would not only increase the cost on both sides, but also has a great impact on…
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Keywords:
deep deterministic;
sharing mechanism;
deterministic policy;
energy sharing ... See more keywords
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Published in 2021 at "Energies"
DOI: 10.3390/en14030584
Abstract: Microgrid has flexible composition, a complex operation mechanism, and a large amount of data while operating. However, optimization methods of microgrid scheduling do not effectively accumulate and utilize the scheduling knowledge at present. This paper…
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Keywords:
deep deterministic;
deterministic policy;
based deep;
scheduling knowledge ... See more keywords
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Published in 2023 at "Sustainability"
DOI: 10.3390/su15076156
Abstract: This article focuses on the development of a stable pedestrian crash avoidance mitigation system for autonomous vehicles (AVs). Previous works have only used simple AV–pedestrian models, which do not reflect the actual interaction and risk…
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Keywords:
manual vehicles;
vehicles pedestrians;
deep deterministic;
deterministic policy ... See more keywords