Výsledky vyhledávání - "Reinforcement Learning Algorithms"

Natural actor–critic algorithms Autor Bhatnagar, Shalabh, Sutton, Richard S., Ghavamzadeh, Mohammad, Lee, Mark

“…We present four new reinforcement learning algorithms based on actor–critic, natural-gradient and function-approximation ideas, and we provide their…”
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Development and Design of an Intelligent Financial Asset Management System Based on Big Data Analysis and Kubernetes Autor Peng, Yicheng

“…The rise of deep learning in the financial field has led to the integration of artificial intelligence and investment, providing users with intelligent…”
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Reinforcement learning-based simulation and automation for tower crane 3D lift planning Autor Cho, SungHwan, Han, SangUk

“…Tower crane lift planning is important to timely provide resources to workplaces. However, previous planning approaches are still impractical because the…”
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Cognition in UAV-Aided 5G and Beyond Communications: A Survey Autor Ullah, Zaib, Al-Turjman, Fadi, Mostarda, Leonardo

“…In recent years, unmanned aerial vehicles (UAVs) have attained significant interest in different applications including aerial surveillance, providing wireless…”
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Fractional-Order Optimal Control and FIOV-MASAC Reinforcement Learning for Combating Malware Spread in Internet of Vehicles Autor Liu, Guiyun, Li, Hao, Xiong, Lihao, Tan, Zhihao, Liang, Zhongwei, Zhong, Xiaojing

“…Internet of Vehicles (IoV) is gradually becoming popular, but it also brings more opportunities for malware intrusion. The intrusion of malware into IoV will…”
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Metaversal intelligence: Unifying human-AI interactions in human-in-the-loop AIB-Metaverse Autor Soltanshahi, Minoo, Maier, Martin

“…The convergence of 6G and Web 3 technologies with the Metaverse necessitates user-centric, intelligent solutions to address challenges of adaptability,…”
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A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies Autor Nazari, Elham, Nazari, Negar, Hosseini Semnani, Samaneh, Ahmadzadeh, Mohammad Reza

“…•This paper presents a novel hybrid Multi-Agent Reinforcement Learning (MARL) and Particle Swarm Optimization (PSO) framework for active voltage control in…”
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Advancing biomedical waste classification through a hybrid ensemble of deep Learning, reinforcement Learning, and differential evolution algorithms Autor Khonjun, Surajet, Pitakaso, Rapeepan, Srichok, Thanatkij, Gonwirat, Sarayut, Vanichakulthada, Nawinda, Luesak, Peerawat, Jirasirilerd, Ganokgarn

“…•Novel AI waste classification model introduced.•Uses ensemble deep learning techniques.•Enhances accuracy and efficiency in waste management.•Tested on…”
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Research on data transmission based on DDPG algorithm Autor Yan Danting, Jiao Xinquan

“…Aiming at the poor reliability and low transmission rate of the current data transmission system, a data transmission system is designed using FPGA and UDP…”
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Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence Autor Long, Ping, Lu, Lin, Chen, Qianlan, Chen, Yifan, Li, Chaoling, Luo, Xiaochun

“…Due to the inefficiency and high cost of the current healthcare supply chain mode, in order to adapt to the great changes in the global economy and public…”
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Research on Reinforcement Learning Algorithm-Based Practical Teaching and Reform Oriented to Enhancement of College Students’ Vocational Ability in Colleges and Universities Autor Hu, Yuzi, Pan, Jiajia

“…In this paper, we first explored the mathematical model of reinforcement learning - Markov decision-making process, solved the Bellman optimal solution by…”
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Energy-Efficient Power Control for Multiple-Relay Cooperative Networks Using Q-Learning Autor Shams, Farshad, Bacci, Giacomo, Luise, Marco

“…In this paper, we investigate the power control problem in a cooperative network with multiple wireless transmitters, multiple amplify-and-forward relays, and…”
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Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm Autor Rajawat, Anand Singh, Goyal, S. B., Chauhan, Chetan, Bedi, Pradeep, Prasad, Mukesh, Jan, Tony

“…Agile product development cycles and re-configurable Industrial Internet of Things (IIoT) allow more flexible and resilient industrial production systems that…”
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Deep Reinforcement Learning-Based Approach for Video Streaming: Dynamic Adaptive Video Streaming over HTTP Autor Souane, Naima, Bourenane, Malika, Douga, Yassine

“…Dynamic adaptive video streaming over HTTP (DASH) plays a crucial role in delivering video across networks. Traditional adaptive bitrate (ABR) algorithms…”
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On the Optimization of User Association and Resource Allocation in HetNets With mm-Wave Base Stations Autor Chaieb, Cirine, Mlika, Zoubeir, Abdelkefi, Fatma, Ajib, Wessam

“…This article investigates the problem of joint user association and resource allocation, defined by the number of allocated time-slots, in hybrid heterogeneous…”
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Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces Autor Botteghi, Nicolo, Alaa, Khaled, Poel, Mannes, Sirmacek, Beril, Brune, Christoph, Mersha, Abeje, Stramigioli, Stefano

“…Reinforcement learning algorithms have proven to be capable of solving complicated robotics tasks in an end-to-end fashion without any need for hand-crafted…”
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DC: Reinforcement Learning for Context-aware and Adaptive Lighting Design using Extended Reality: Impacts on Human Emotions and Behaviors Autor Mohammadrezaei, Elham

“…In the interconnected world of smart built environments, Extended Reality (XR) emerges as a transformative technology that can enhance user experiences through…”
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Personalize E-Commerce Product Recommendations Based on User Behavior Using Reinforced Learning Algorithms Autor Joe, Julian, Luvena, Angelique, Jacksen, Halim, Erwin

“…The development of a personalized and adaptive e-commerce product recommendation system will be developed using the Reinforcement Learning algorithm in this…”
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Supervised Deep Learning Methodology for Autonomous Vehicle Routing Autor Saidala, Ravi Kumar, Meduri, Subrahmanya S, Reddy Tetali, Anil Kumar, Burri, Rama Devi, Radder, Umesharaddy, Londhe, Gaurav Vishnu

“…Automated driving is a revolutionary technology that is fundamentally changing worldwide transportation networks. An essential component of autonomous vehicle…”
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Multi-Entity Interactive Operation Strategy of Vehicle-Station-Net Driven by Intelligent Network Data Fusion Autor Hu, Jun, Hou, Yucheng, Cai, Shaotang, Ma, Shuoqi

“…The electric vehicle charging behavior involves multiple subjects such as traffic and charging stations, and contains a large number of uncertainty factors,…”
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