Výsledky vyhledávání - "Reinforcement learning algorithm"

Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm Autor Li, Hongyi, Wu, Ying, Chen, Mou

“…This article investigates the adaptive fault-tolerant tracking control problem for a class of discrete-time multiagent systems via a reinforcement learning…”
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An adaptive evolutionary-reinforcement learning algorithm for hyperspectral band selection Autor Wang, Mingwei, Zhang, Haoming, Yin, Biyu, Chen, Maolin, Liu, Wei, Ye, Zhiwei

“…Band selection is one of the most important considerations for hyperspectral imaging (HSI) datasets that involves selecting fewer bands with higher…”
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Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems Autor Seyyedabbasi, Amir, Aliyev, Royal, Kiani, Farzad, Gulle, Murat Ugur, Basyildiz, Hasan, Shah, Mohammed Ahmed

“…This paper introduces three hybrid algorithms that help in solving global optimization problems using reinforcement learning along with metaheuristic methods…”
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Innovation and Evaluation of Machine Translation Models Combining Reinforcement Learning Algorithms and RNN Autor Xiao, Ni

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Trajectory planning and control of autonomous vehicle based on reinforcement learning algorithm Autor Wang, Jia

“…In order to explore the trajectory planning and control method of autonomous vehicle based on reinforcement learning algorithm, this paper designs an advanced…”
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Multi-agent reinforcement learning vibration control and trajectory planning of a double flexible beam coupling system Autor Qiu, Zhi-cheng, Hu, Jun-fei, Zhang, Xian-min

“…[Display omitted] •A coupling system of moving double flexible beams is designed, FEM is obtained.•Wavelet function and FOA are used to identify the model…”
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A reinforcement learning-based metaheuristic algorithm for solving global optimization problems Autor Seyyedabbasi, Amir

“…•Metaheuristic algorithms find optimal solutions to global optimization problems in random search spaces.•It has been shown that reinforcement learning methods…”
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A deep reinforcement learning approach to energy management control with connected information for hybrid electric vehicles Autor Mei, Peng, Karimi, Hamid Reza, Xie, Hehui, Chen, Fei, Huang, Cong, Yang, Shichun

“…Considering the importance of the energy management strategy for hybrid electric vehicles, this paper is aiming at addressing the energy optimization control…”
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Visual feedback vibration control of flexible hinged plate system based on reinforcement learning algorithm Autor Qiu, Zhi-cheng, Liu, Yi-hong

“…[Display omitted] •A fixed flexible hinged plate system is designed and FEM is obtained.•Wavelet analysis and SA optimization algorithm are used to identify…”
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A Reinforcement Learning Solution for Queue Management in Public Utility Services Autor Todor Dobrev, Miroslav Markov, Valentina Markova

“…This paper presents a reinforcement learning-based approach for optimizing queue management in public utility service environments. Using one year of real…”
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A novel practically designated-time fuzzy optimal control via reinforcement learning for stochastic constrained nonlinear systems Autor Qiu, Lifang, Zhao, Junsheng, Sun, Zong-Yao, Mu, Chaoxu

“…This paper investigates the practically designated time fuzzy optimal control problem for stochastic constrained nonlinear systems with input delay, using…”
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Short-Term Load Forecasting Algorithm Using a Similar Day Selection Method Based on Reinforcement Learning Autor Park, Rae-Jun, Song, Kyung-Bin, Kwon, Bo-Sung

“…Short-term load forecasting (STLF) is very important for planning and operating power systems and markets. Various algorithms have been developed for STLF…”
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Optimal lot-sizing and service level weighting in sequential multi-attribute global transportation service procurement Autor Kong, Xiang T.R., He, Zhan, Yu, Kaize, Yan, Pengyu

“…•Exporters should pay more attention to the quality of service when choosing freight forwarders to improve the utility.•The proposed auction system could…”
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Adaptive Fault-Tolerant Tracking Control for MIMO Discrete-Time Systems via Reinforcement Learning Algorithm With Less Learning Parameters Autor Liu, Lei, Wang, Zhanshan, Zhang, Huaguang

“…This paper is concerned with a reinforcement learning-based adaptive tracking control technique to tolerate faults for a class of unknown multiple-input…”
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Intelligent Logistics Resource Scheduling Based on Hybrid Parameter Ant Colony Algorithm and Reinforcement Learning Autor Li, Wanchun, Wang, Liping

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Learning to construct a solution for UAV path planning problem with positioning error correction Autor Chun, Jie, Chen, Ming, Liu, Xiaolu, Xiang, Shang, Du, Yonghao, Wu, Guohua, Xing, Lining

“…Unmanned aerial vehicles (UAVs) are advanced flight systems. However, their positioning systems cause distance-dependent errors during flight. This study seeks…”
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A novel game approach to integrating traffic assignment and signal control for enhanced efficiency and environmental performance in mixed networks Autor Yang, Hang, Ma, Wanjing, Cheng, Rongjun, Wu, Bing, Wang, Yibing, Zheng, Pengjun

“…•A centralized optimal control framework, which involves the combined traffic assignment and signal control (CAC) in the mixed network with expressways and…”
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A novel learning model with dynamic heterogeneous graph network for uncertain multimode resource-constrained project scheduling problem Autor Wang, Zheng, Liu, Huiran, Fan, Xiaojun

“…This paper addresses a multi-scenario multi-mode resource-constrained project scheduling problem with the goal of minimizing both the makespan and cost of the…”
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Multi-robot path planning based on a deep reinforcement learning DQN algorithm Autor 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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Neural network-based adaptive reinforcement learning for optimized backstepping tracking control of nonlinear systems with input delay Autor Zhu, Boyan, Karimi, Hamid Reza, Zhang, Liang, Zhao, Xudong

“…In this paper, the problem of adaptive optimized tracking control design is addressed for a class of nonlinear systems in strict-feedback form. The system…”
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