Grasping Control of a Vision Robot Based on a Deep Attentive Deterministic Policy Gradient
Sign Up to like & getrecommendations! 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… read more here.
Keywords: deep attentive; deterministic policy; policy gradient; attentive deterministic ... See more keywords
Research on Maneuvering Decision Algorithm Based on Improved Deep Deterministic Policy Gradient
Sign Up to like & getrecommendations! 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… read more here.
Keywords: improved deep; deep deterministic; based improved; deterministic policy ... See more keywords
Twin Delayed Deep Deterministic Policy Gradient Algorithm for a Heterogeneous Multifactory Remanufacturing Optimization Problem
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2025.3540263
Abstract: To reduce resource consumption and environmental impact, the manufacturing industry increasingly leans towards repurposing, repairing, or updating products. In a multifactory environment, considering the disassembly line balancing problem helps enterprises improve production efficiency and reduce… read more here.
Keywords: deterministic policy; policy gradient; heterogeneous multifactory; problem ... See more keywords
Asynchronous Episodic Deep Deterministic Policy Gradient: Toward Continuous Control in Computationally Complex Environments
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: computationally complex; deep deterministic; control; deterministic policy ... See more keywords
Intelligent Fault Quantitative Identification via the Improved Deep Deterministic Policy Gradient (DDPG) Algorithm Accompanied With Imbalanced Sample
Sign Up to like & getrecommendations! 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… read more here.
Keywords: improved deep; deep deterministic; intelligent fault; deterministic policy ... See more keywords
Deep Deterministic Policy Gradient-Based Algorithm for Computation Offloading in IoV
Sign Up to like & getrecommendations! 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… read more here.
Keywords: policy gradient; deep deterministic; computation offloading; gradient based ... See more keywords
UAV Coverage Path Planning With Quantum-Based Recurrent Deep Deterministic Policy Gradient
Sign Up to like & getrecommendations! 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… read more here.
Keywords: policy gradient; deep deterministic; quantum based; deterministic policy ... See more keywords
Intelligent Decision Algorithm for Autonomous Driving Based on Convolution Neural Network and Deep Deterministic Policy Gradient
Sign Up to like & getrecommendations! 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… read more here.
Keywords: deep deterministic; algorithm autonomous; decision; intelligent decision ... See more keywords
Path Planning Method for Manipulators Based on Improved Twin Delayed Deep Deterministic Policy Gradient and RRT*
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14072765
Abstract: This paper proposes a path planning framework that combines the experience replay mechanism from deep reinforcement learning (DRL) and rapidly exploring random tree star (RRT*), employing the DRL-RRT* as the path planning method for the… read more here.
Keywords: deterministic policy; policy gradient; policy; path planning ... See more keywords
Agent-Based Energy Sharing Mechanism Using Deep Deterministic Policy Gradient Algorithm
Sign Up to like & getrecommendations! 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… read more here.
Keywords: deep deterministic; sharing mechanism; deterministic policy; energy sharing ... See more keywords
Optimal Scheduling of Microgrid Based on Deep Deterministic Policy Gradient and Transfer Learning
Sign Up to like & getrecommendations! 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… read more here.
Keywords: deep deterministic; deterministic policy; based deep; scheduling knowledge ... See more keywords