Mutual learning is an emerging technique for allowing intelligent systems to learn from each other, giving rise to improved performance. In this paper, we explore mutual reinforcement learning between systems which us...
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ISBN:
(纸本)9781665412520
Mutual learning is an emerging technique for allowing intelligent systems to learn from each other, giving rise to improved performance. In this paper, we explore mutual reinforcement learning between systems which use very different learning algorithms. In particular, we present an algorithm which allows two agents, one using Q-learning and another using adaptive dynamic programming, to share learned knowledge. We discuss how these agents negotiate the relative importance of knowledge they receive from other agents, and we present results that show how this affects the learning process.
In order to improve the cooperative detection performance of multi-UUV searching task in unknown waters, it is necessary to optimize the UUV formation. Firstly, the linear array with fast and convenient layout is sele...
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ISBN:
(数字)9798350361445
ISBN:
(纸本)9798350361452
In order to improve the cooperative detection performance of multi-UUV searching task in unknown waters, it is necessary to optimize the UUV formation. Firstly, the linear array with fast and convenient layout is selected as the optimal formation, and the Fermi model is adopted as the detection model considering that the detection probability varies withthe detection distance. Secondly, the detection coverage and detection continuity are quantitatively transformed and the optimization function is obtained. Finally, the improved particle swarm optimization algorithm is used to optimize the objective function. the simulation results show that the UUV formation cooperative detection effect optimized by the improved particle swarm optimization algorithm is improved, which can provide technical support for multi-UUV cooperative detection formation optimization.
Efficient data compression methods are critical for optimizing storage, accelerating data transfer, and improving system performance. this study gives a comprehensive comparison of three data compression algorithms: R...
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ISBN:
(数字)9798331519513
ISBN:
(纸本)9798331519520
Efficient data compression methods are critical for optimizing storage, accelerating data transfer, and improving system performance. this study gives a comprehensive comparison of three data compression algorithms: Run-Length Encoding (RLE), Lempel-Ziv-Welch (LZW), and Burrows-Wheeler Transform (BWT). Each technique was assessed in terms of time efficiency, geographical complexity, and feasibility. According to our findings, LZW typically outperforms other approaches, although RLE and BWT perform very well in some cases. We thoroughly evaluate each algorithm to identify its merits, limitations, and potential areas for development.
Due to the advantages of global coverage and large capacity, satellite optical networks (OSNs) have been widely used in military and commercial applications. However, time-varying topology and coarse-grained resource ...
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the world of football, with its vast player database and intricate gameplay, has been a subject of fascination for enthusiasts and analysts alike. the FIFA video game series, developed by EA Sports, provides an opport...
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ISBN:
(数字)9798350372816
ISBN:
(纸本)9798350372823
the world of football, with its vast player database and intricate gameplay, has been a subject of fascination for enthusiasts and analysts alike. the FIFA video game series, developed by EA Sports, provides an opportunity to delve into this world from a data science perspective. In this research, we embark on a comprehensive analysis of FIFA player data using Python to uncover insights and patterns that can enhance our understanding of the virtual football world. Findings: Data visualization is the process of representing data using common graphics, like charts, plots, infographics, and even animations, prediction of overall rating of football players using Linear Regression and Win prediction of EPL teams using Random Forest classifier.
Effective strategic planning and decision- making process is a complex process as it involves a large volume of data to produce quality information. In the context of Higher Education, specifically on student developm...
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Computational thinking (CT) is a thought process which utilize computer science concepts to solve problem in the real life. One of the methods to develop CT among the Children is by using visual programming to create ...
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We present an asymptotic improvement in the number of variables (n + m⌊log 2(k − 1)⌋) required for state-of-the-art formulation of (max-)k-SAT problems when encoded as a quadratic unconstrained binary optimization (QU...
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ISBN:
(纸本)9798400709098
We present an asymptotic improvement in the number of variables (n + m⌊log 2(k − 1)⌋) required for state-of-the-art formulation of (max-)k-SAT problems when encoded as a quadratic unconstrained binary optimization (QUBO) problem. We further show a variable reduction technique (max-)3-SAT formula which achieves the optimal number of substitution variables. We show optimality empirically by presenting an integer linear programming (ILP) construction for arbitrary Boolean formulas. We show how various goals can be encoded, and this model can be generalized to searching for arbitrary substitution variable functions. Lastly, we show the optimal high-order substitution reduction in cubic QUBO equations which has smaller coefficients than the typical construction used.
this paper proposes a novel control approach based on gradient descent methods to solve the problem of cooperative adaptive optimal output regulation of continuous-time linear multi-agent systems. this proposed approa...
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ISBN:
(数字)9798350363012
ISBN:
(纸本)9798350363029
this paper proposes a novel control approach based on gradient descent methods to solve the problem of cooperative adaptive optimal output regulation of continuous-time linear multi-agent systems. this proposed approach calculates gradients through online data rather than model information, such that a data-driven distributed adaptive controller is developed by adaptive dynamic programming, which ensures that each follower can achieve asymptotic tracking and disturbance rejection. Finally, the effectiveness of the proposed control algorithm is verified by simulation of connected and autonomous vehicles.
the proceedings contain 9 papers. the topics discussed include: the development of a collection of art-themed mobile application (Videre) using challenged based learning;designing touchless hand gestures interactions ...
ISBN:
(纸本)9781665407793
the proceedings contain 9 papers. the topics discussed include: the development of a collection of art-themed mobile application (Videre) using challenged based learning;designing touchless hand gestures interactions on desktop virtual reality (DVR) in classroom: understanding issues through thematic analysis;3D character posing from 2D sketches for storyboarding;exploring visual programming concepts for smart textiles: the MYOW experience;development of marketplace user interface design with virtual booth based on mobile for ornamental fish SMEs;mobile marketplace evaluation using UTAUT method: a case of market place company;application of IoT and cloud storage in android-based smart home technology;designing user interface with UML and crud concept for IoT-based water quality analysis tool;and combining mobile and traditional learning to learn mandarin language.
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