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检索条件"任意字段=IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning"
1018 条 记 录,以下是371-380 订阅
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Autonomous learning with Automatically Created Models and a Novel Model Selection
Autonomous Learning with Automatically Created Models and a ...
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ieee symposium Series on Computational Intelligence (SSCI)
作者: Harshal V Bharatia ACM Student Member Plano USA
An autonomous learning approach is presented here for expansive problem domains that may undergo frequent changes. It is hard to train and adapt learning-models to changes when the problem domain is very large. With t... 详细信息
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adaptive Optimal Output Regulation of Time-Delay Systems via Measurement Feedback
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ieee TRANSACTIONS ON NEURAL NETWORKS AND learning SYSTEMS 2019年 第3期30卷 938-945页
作者: Gao, Weinan Jiang, Zhong-Ping Georgia Southern Univ Dept Elect & Comp Engn Allen E Paulson Coll Engn & Comp Statesboro GA 30460 USA NYU Dept Elect & Comp Engn Tandon Sch Engn Brooklyn NY 11201 USA
This brief proposes a novel solution to problems related to the measurement feedback adaptive optimal output regulation of discrete-time linear systems with input time-delay. Based on reinforcement learning and adapti... 详细信息
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An adaptive Model Management Strategy: Balancing Exploration and Exploitation
An Adaptive Model Management Strategy: Balancing Exploration...
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ieee symposium Series on Computational Intelligence (SSCI)
作者: Caie Hu Sanyou Zeng Changhe Li Mechanical Engineering and Electronic Information China University of Geoscience Wuhan China Automation and Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China University of Geoscience Wuhan China
Model management is a critical component in data-driven surrogate-assisted evolutionary optimization. It is mainly used for selecting candidate samples to be evaluated using exact functions to balance the exploration ... 详细信息
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Resource Provisioning in Fog Computing through Deep reinforcement learning
Resource Provisioning in Fog Computing through Deep Reinforc...
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IFIP/ieee International symposium on Integrated Network Management
作者: José Santos Tim Wauters Bruno Volckaert Filip De Turck IDLab Ghent University - imec Gent Belgium
The massive growth of connected devices has made traditional cloud systems inadequate to sustain the scalability, mobility, and heterogeneous nature of the Internet of Things (oT). Distributed clouds have become a pot... 详细信息
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ISBI 2020 - 2020 ieee International symposium on Biomedical Imaging
ISBI 2020 - 2020 IEEE International Symposium on Biomedical ...
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17th ieee International symposium on Biomedical Imaging, ISBI 2020
The proceedings contain 424 papers. The topics discussed include: segmentation-based method combined with dynamic programming for brain midline delineation;automatic extraction and sign determination of respiratory si...
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reinforcement learning for adaptive Caching With dynamic Storage Pricing
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ieee JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2019年 第10期37卷 2267-2281页
作者: Sadeghi, Alireza Sheikholeslami, Fatemeh Marques, Antonio G. Giannakis, Georgios B. Univ Minnesota Digital Technol Ctr Minneapolis MN 55455 USA Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA King Juan Carlos Univ Dept Signal Theory & Commun Madrid 28943 Spain
Small base stations (SBs) of fifth-generation (SG) cellular networks are envisioned to have storage devices to locally serve requests for reusable and popular contents by caching them at the edge of the network, close... 详细信息
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Power Control for Wireless VBR Video Streaming: From Optimization to reinforcement learning
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ieee TRANSACTIONS ON COMMUNICATIONS 2019年 第8期67卷 5629-5644页
作者: Ye, Chuang Gursoy, M. Cenk Velipasalar, Senem Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA
In this paper, we investigate the problem of power control for streaming variable bit rate (VBR) videos over wireless links. A system model involving a transmitter (e.g., a base station) that sends VBR video data to a... 详细信息
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Output Feedback Q-learning Control for the Discrete-Time Linear Quadratic Regulator Problem
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ieee TRANSACTIONS ON NEURAL NETWORKS AND learning SYSTEMS 2019年 第5期30卷 1523-1536页
作者: Rizvi, Syed Ali Asad Lin, Zongli Univ Virginia Charles L Brown Dept Elect & Comp Engn Charlottesville VA 22904 USA
Approximate dynamic programming (ADP) and reinforcement learning (RL) have emerged as important tools in the design of optimal and adaptive control systems. Most of the existing RL and ADP methods make use of full-sta... 详细信息
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Novel Scheme for Congestion Control in Cellular Networks Using Deep reinforcement learning and Markov Decision Process Models
Novel Scheme for Congestion Control in Cellular Networks Usi...
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2020 International Conference in Mathematics, Computer Engineering and Computer Science, ICMCECS 2020
作者: Arinze, Uchechukwu Bakpo, Francis Eneh, Agozie Longe, Olumide Department of Computer Science Enugu Nigeria Department of Information Systems Adamawa Yola Nigeria
This research deals with the general issue of quality of service (QoS) provisioning and resource utilization in telecommunication networks. The issue requires that mobile network income be optimized while simultaneous... 详细信息
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UCT-ADP Progressive Bias Algorithm for Solving Gomoku
UCT-ADP Progressive Bias Algorithm for Solving Gomoku
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ieee symposium Series on Computational Intelligence (SSCI)
作者: Cao, Xu Lin, Yanghao Fudan Univ Sch Data Sci Shanghai Peoples R China
We combine adaptive dynamic programming (ADP), a reinforcement learning method and UCB applied to trees (UCT) algorithm with a more powerful heuristic function based on Progressive Bias method and two pruning strategi... 详细信息
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