Search Results - "Deep Q-network algorithm"

Multi-robot path planning based on a deep reinforcement learning DQN algorithm by Yang, Yang, Juntao, Li, Lingling, Peng

“…The unmanned warehouse dispatching system of the ‘goods to people’ model uses a structure mainly based on a handling robot, which saves considerable manpower…”
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Dynamic collision avoidance for maritime autonomous surface ships based on deep Q-network with velocity obstacle method by Li, Yuqin, Wu, Defeng, Wang, Hongdong, Lou, Jiankun

“…To address the dynamic obstacle environment collision avoidance challenge of the marine autonomous surface ships (MASS), a decision-making method based on the…”
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Navigational path optimization methodology for wing-diesel hybrid ship based on improved Double Deep Q-Network by Wang, Cong, Huang, Lianzhong, Ma, Ranqi, Wang, Kai, Sheng, Jinlu, Ruan, Zhang, Zhang, Rui, Cao, JianLin

“…Wing-diesel hybrid ships can demonstrate quantifiable fuel efficiency gains by using wing-sails’ thrust to replace part of the fuel propulsion during…”
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Impact of energy storage devices on microgrid frequency performance: A robust DQN based grade-2 fuzzy cascaded controller by Sahu, Prakash Chandra, Jena, Smitasree, Mohapatra, Srikanta, Debdas, Subhra

“…•A microgrid is modeled by integrating various distributed power sources (DG) such as solar power stations (SPS), micro turbine (MT), wind power stations (WPS)…”
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Path Planning for Unmanned Surface Vehicles in Dynamic Environments Based on Artificial Potential Field and Global Guided Reinforcement Learning by Li, Shanqiang, Li, Chaoxi

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Throughput Enhancement of High-Bandwidth Wireless Network Using Deep Double Q-Network Algorithm by Wang, Chengman, Aljohani, Abeer, Khan, Fazlullah

“…In high-bandwidth network environments, multiple users and devices frequently share similar high-frequency bands, but signal propagation limitations lead to…”
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Research on Reinforcement Learning Based Regulation Scheme for Renewable Energy System in Green Buildings by Li, Yin, Wang, Ang

“…With the deepening of the concept of sustainable development, green building has become an important transformation direction for the construction industry…”
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Age-appropriate design of smart senior care product APP interface based on deep learning by Chen, Si

“…With the aging of the population, the quality of life and happiness of the elderly are increasingly becoming concerns of society. Smart senior care (SSC)…”
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Constructing a model for optimal allocation of digital aesthetic education resources in colleges and universities based on deep learning by Hao, Kexian

“…In the context of digital development, aesthetic education in colleges and universities is encountering novel challenges and opportunities, with some…”
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Deep Q networks-based optimization of emergency resource scheduling for urban public health events by Zhao, Xianli, Wang, Guixin

“…In today's severe situation of the global new crown virus raging, there are still efficiency problems in emergency resource scheduling, and there are still…”
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Planning and Design of Elderly Care Space Combining PER and Dueling DQN by Wang, Di, Ma, Hui, Chen, Yu

“…With the continuous development of the aging phenomenon in society, people's attention to the planning of elderly care spaces is increasing. Currently, many…”
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Research on intelligent fault diagnosis for railway point machines using deep reinforcement learning by Xiao, Shuai, Feng, Qingsheng, Li, Xue, Li, Hong

“…The advanced diagnosis of faults in railway point machines is crucial for ensuring the smooth operation of the turnout conversion system and the safe…”
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Minimization of Energy and Service Latency Computation Offloading using Neural Network in 5G NOMA System by Suprith, P.G, Riyaz Ahmed, Mohammed

“…The future Internet of Things (IoT) era is anticipated to support computation-intensive and time-critical applications using edge computing for mobile (MEC),…”
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Allocating defense resources for spatial cyber-physical power systems based on deep reinforcement learning by Dong, Zhengcheng, Tang, Mian, Tian, Meng

“…Allocating defense resources to specific lines can enhance the resilience of power systems against external damages. Considering the impact of information…”
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Research on Multi-Stage Decision Optimization Based on Monte Carlo Simulation and Deep Q-Network Algorithm by Chen, Make, Geng, Haitian, Li, Jingran

“…This paper presents a comprehensive study on multi-stage decision optimization leveraging Monte Carlo simulation and Deep Q-Network (DQN) algorithms. We…”
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Research on Resource Scheduling of Computing Power Network Based on Deep Q-Network Algorithm by Wang, Zhijun, Zhou, Jingbo

“…The resource scheduling of computing power networks is a complex project, and the scheduling strategies used will directly affect the efficiency of subsequent…”
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Study on the Coordination and Optimization of Flexible Resources in the demand-side by Cui, Dai, Yu, Peng, Zhao, Bin, Li, Jiayi, Zhang, Meishan, Pan, Junlin

“…The proportion of new energy in the new power system is increasing year by year, and its uncertainty and volatility pose challenges to the operation of the new…”
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Energy Consumption Management and Optimization of Artificial Intelligence Systems based on Computer Communication by Ye, Yingling

“…Aiming at the problem of high energy consumption and difficult optimization of artificial intelligence systems in computer communications, accurate energy…”
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Research on User Experience Adaptive Algorithm in Intelligent Connected Vehicle Interaction by Haipeng, Cao, Li, Yang, Jing, Yang, Fan, Zhang

“…This study focuses on the application of user interface adaptive algorithm in multimodal interaction in intelligent connected vehicles. With the rapid…”
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Optimal Configuration of Distribution Network Utilizing Dueling Deep Q Network Algorithm Under Different Operating Conditions by Ghaemipour, Amirhossein, Mashhadi, Habib Rajabi, Mostafavi, Seyed Hossein

“…Distribution network reconfiguration (DNR) is one of the most popular methods that power companies use to create a reliable structure for the distribution…”
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