Suchergebnisse - "Reinforcement Learning Algorithm"

Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm von Wen, Guoxing, Chen, C. L. Philip, Feng, Jun, Zhou, Ning

“… In order to achieve the optimized control, the reinforcement learning algorithm of the identifier-actor-critic architecture is implemented based on fuzzy logic system (FLS) approximators …”
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MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems von Zhao, Dongbin, Zhu, Yuanheng

“… In this paper, the first probably approximately correct (PAC) algorithm for continuous deterministic systems without relying on any system dynamics is …”
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Reinforcement learning algorithm for non-stationary environments von Padakandla, Sindhu, K. J., Prabuchandran, Bhatnagar, Shalabh

“… Reinforcement learning (RL) methods learn optimal decisions in the presence of a stationary environment. However, the stationary assumption on the environment …”
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Adversarial environment reinforcement learning algorithm for intrusion detection von Caminero, Guillermo, Lopez-Martin, Manuel, Carro, Belen

“… Intrusion detection is a crucial service in today’s data networks, and the search for new fast and robust algorithms that are capable of detecting and …”
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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play von Silver, David, Hubert, Thomas, Schrittwieser, Julian, Antonoglou, Ioannis, Lai, Matthew, Guez, Arthur, Lanctot, Marc, Sifre, Laurent, Kumaran, Dharshan, Graepel, Thore, Lillicrap, Timothy, Simonyan, Karen, Hassabis, Demis

“… The game of chess is the longest-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated …”
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An Improved Sarsa( \lambda ) Reinforcement Learning Algorithm for Wireless Communication Systems von Jiang, Hao, Gui, Renjie, Chen, Zhen, Wu, Liang, Dang, Jian, Zhou, Jie

“… In this article, we provide a novel improved model-free temporal-difference control algorithm, namely, Expected Sarsa(λ), using the average value as an update …”
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Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm von 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 algorithm …”
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Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems von Wang, Wei, Yu, Nanpeng, Gao, Yuanqi, Shi, Jie

“… To deal with incomplete and inaccurate distribution network models, we propose a safe off-policy deep reinforcement learning algorithm to solve Volt-VAR control problems in a model-free manner …”
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A novel reinforcement learning algorithm for virtual network embedding von Yao, Haipeng, Chen, Xu, Li, Maozhen, Zhang, Peiying, Wang, Luyao

“… Network virtualization enables the share of a physical network among multiple virtual networks. Virtual network embedding determines the effectiveness of …”
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Improved off‐policy reinforcement learning algorithm for robust control of unmodeled nonlinear system with asymmetric state constraints von Zhang, Yong, Mu, Chaoxu, Feng, Yanghe, Zhao, Zhijia

“… In this article, an improved data‐based off‐policy reinforcement learning algorithm is proposed for the robust control of unmodeled nonlinear systems with asymmetric state constraints …”
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A Scalable Reinforcement Learning Algorithm for Scheduling Railway Lines von Khadilkar, Harshad

“… This paper describes an algorithm for scheduling bidirectional railway lines (both single- and multi-track) using a reinforcement learning (RL) approach. The …”
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Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity von Liao, Peng, Greenewald, Kristjan, Klasnja, Predrag, Murphy, Susan

“… With the recent proliferation of mobile health technologies, health scientists are increasingly interested in developing just-in-time adaptive interventions …”
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Observer-Based Consensus Control for MASs With Prescribed Constraints via Reinforcement Learning Algorithm von Luo, Ao, Zhou, Qi, Ma, Hui, Li, Hongyi

“… In this article, an adaptive optimal consensus control problem is studied for multiagent systems (MASs) with external disturbances, unmeasurable states, and …”
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Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm von Valladares, William, Galindo, Marco, Gutiérrez, Jorge, Wu, Wu-Chieh, Liao, Kuo-Kai, Liao, Jen-Chung, Lu, Kuang-Chin, Wang, Chi-Chuan

“… The aim of this work is to propose an artificial intelligence algorithm that maintains thermal comfort and air quality within optimal levels while consuming …”
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FMRQ-A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks von Zhang, Zhen, Zhao, Dongbin, Gao, Junwei, Wang, Dongqing, Dai, Yujie

“… In this paper, we propose a multiagent reinforcement learning algorithm dealing with fully cooperative tasks …”
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Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm von Huang, Ruchen, He, Hongwen, Zhao, Xuyang, Wang, Yunlong, Li, Menglin

“… •A specific driving cycle is constructed through a naturalistic data-driven method.•An energy management strategy based on the TD3 algorithm is proposed.•The …”
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A multi-step predictive deep reinforcement learning algorithm for HVAC control systems in smart buildings von Liu, Xiangfei, Ren, Mifeng, Yang, Zhile, Yan, Gaowei, Guo, Yuanjun, Cheng, Lan, Wu, Chengke

“… The development of the building energy management systems (BEMS) enable users to intelligently control Heating, Ventilation, Air-conditioning and Cooling …”
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Target-Value-Competition-Based Multi-Agent Deep Reinforcement Learning Algorithm for Distributed Nonconvex Economic Dispatch von Ding, Lifu, Lin, Zhiyun, Shi, Xiasheng, Yan, Gangfeng

“… A multi-agent coordinated deep reinforcement learning algorithm is proposed to deal with distributed nonconvex economic dispatch problems …”
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A novel sim2real reinforcement learning algorithm for process control von Liang, Huiping, Xie, Junyao, Huang, Biao, Li, Yonggang, Sun, Bei, Yang, Chunhua

“… To handle these issues, this paper proposes a novel sim2real reinforcement learning algorithm …”
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Distributed Reinforcement Learning Algorithm for Dynamic Economic Dispatch With Unknown Generation Cost Functions von Dai, Pengcheng, Yu, Wenwu, Wen, Guanghui, Baldi, Simone

“… In this article, the dynamic economic dispatch (DED) problem for smart grid is solved under the assumption that no knowledge of the mathematical formulation of …”
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