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Convergence analysis of an incremental approach to online inverse reinforcement learning

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Journal of Zhejiang University-Science C(Computers and Electronics) 2011年第1期12卷 17-24页

作者： Zhuo-jun jin Hui QIAN shen-yi CHEN Miao-liang ZHU School of Computer Science and Technology Zhejiang University Hangzhou 310027 China

Interest in inverse reinforcement learning (IRL) has recently increased,that is,interest in the problem of recovering the reward function underlying a Markov decision process (MDP) given the dynamics of the system and the behavior of an *** paper deals with an incremental approach to online ***,the convergence property of the incremental method for the IRL problem was investigated,and the bounds of both the mistake number during the learning process and regret were provided by using a detailed *** an online algorithm based on incremental error correcting was derived to deal with the IRL *** key idea is to add an increment to the current reward estimate each time an action mismatch *** leads to an estimate that approaches a target optimal *** proposed method was tested in a driving simulation experiment and found to be able to efficiently recover an adequate reward function.

关键词： Incremental approach Reward recovering Online learning Inverse reinforcement learning Markov decision process

Extraction of Eugenol from Essential Oils by In Situ Formation of Deep Eutectic Solvents:A Green Recyclable Process

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Journal of Analysis and Testing 2024年第1期8卷 63-73页

作者： Lingqi shen Xiangzi jin Zhihui Zhang Yuexing yi jingyu Zhang Zuguang Li College of Chemical Engineering Zhejiang University of TechnologyHangzhou 310014China Department of Chemistry Yanbian UniversityYanji 133002China Transfar Zhilian Co. Ltd.Hangzhou 311215China

Eugenol is extensively utilized in chemical *** actual production,it is mainly separated from clove essential oils(EOs)through acid-base *** this work,a simple,rapid and effective extraction process was developed for the extraction of eugenol from EOs samples by directly forming deep eutectic solvents(DESs)without using acid-base *** proposed process is designed to dissolve EOs in n-hexane and eugenol was highly selective extracted into DESs with tetrabutylammonium chloride(TBAC).Hydrogen bonds in DESs can be broken by addition of water,resulting in a separation of the two phases,thus obtaining a hydrophobic yellowish eugenol in the upper *** quaternary ammonium salt in the lower aqueous solution can be reused after *** most determining influence factors such as the structure of quaternary ammonium salt,the mole ratio of quaternary ammonium salt to eugenol and the amount of n-hexane were *** forming conditions of DESs were studied by Box-Behnken design(BBD).Experiment was carried out under the optimal conditions and good experimental result was demonstrated by the developed process,a high extraction recovery of 92.51% and the purity was about 98.50%,which verifies the excellent performance for the proposed process.

关键词： Eugenol Deep eutectic solvent Essential oils Tetrabutylammonium chloride

Shor's algorithm does not factor large integers in the presence of noise

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Science China(Information Sciences) 2024年第7期67卷 305-320页

作者： jin-yi CAI College of Letters and Science University of Wisconsin

We consider Shor's quantum factoring algorithm in the setting of noisy quantum gates. Under a generic model of random noise for(controlled) rotation gates, we prove that the algorithm does not factor integers of the form pq when the noise exceeds a vanishingly small level in terms of n—the number of bits of the integer to be factored, where p and q are from a well-defined set of primes of positive density. We further prove that with probability 1-o(1) over random prime pairs(p, q), Shor's factoring algorithm does not factor numbers of the form pq, with the same level of random noise present.

关键词： random noise Shor's algorithm rotation gates quantum computing prime factorization

A novel method for extracting and optimizing the complex permittivity of paper-based composites based on an artificial neural network model

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Science China Technological Sciences 2024年第10期67卷 3190-3204页

作者： XIA ChenBin shen Junyi LIAO ShaoWei WANG yi HUANG Zhengsheng XUE Quan TANG Min LONG jin HU Jian School of Light Industry and Engineering South China University of Technology School of Electronic and Information Engineering South China University of Technology

Measuring the complex permittivity of ultrathin, flexible materials with a high loss tangent poses a substantial challenge with precision using conventional methods, and verifying the accuracy of test results remains difficult. In this study, we introduce a methodology based on a back-propagation artificial neural network(ANN) to extract the complex permittivity of paper-based composites(PBCs). PBCs are ultrathin and flexible materials exhibiting considerable complex permittivity and dielectric loss tangent. Given the absence of mature measurement methods for PBCs and a lack of sufficient data for ANN training, a mapping relationship is initially established between the complex permittivity of honeycomb-structured microwave-absorbing materials(HMAMs, composed of PBCs) and that of PBCs using simulated data. Leveraging the ANN model, the complex permittivity of PBCs can be extracted from that of HMAMs obtained using standard measurement. Subsequently, two published methods are cited to illustrate the accuracy and advancement of the results obtained using the proposed approach. Additionally, specific error analysis is conducted, attributing discrepancies to the conductivity of PBCs, the homogenization of HMAMs, and differences between the simulation model and actual objects. Finally, the proposed method is applied to optimize the cell length parameters of HMAMs for enhanced absorption performance. The conclusion discusses further improvements and areas for extended research.

关键词： paper-based composite honeycomb complex permittivity artificial neural networks inverse modeling

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Electroacupuncture at Sensitized Acupoints Relieves Somatic Referred Pain in Colitis Rats by Inhibiting Sympathetic-Sensory Coupling to Interferewith 5-HT Signaling Pathway

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Chinese Journal of Integrative Medicine 2024年第2期30卷 152-162页

作者： YANG ying QU jin-yu GUO Hua ZHOU Hai-ying RUAN Xia PENG ying-chun shen Xue-fang XIONG jin WANG yi-li School of Clinical Medicine Chengdu Medical CollegeChengdu(610500)China Department of Rehabilitation Medicine the First Affliated Hospital of Chengdu Medical CollegeChengdu(610500)China Department of Rehabilitation Medicine West China HospitalSichuan University/West China School of NursingSichuan UniversityChengdu(610041)China Department of Neurology the First Affiliated Hospital of Chengdu Medical CollegeChengdu(610500)China

Objective:To investigate whether electroacupuncture(EA) at sensitized acupoints could reduce sympathetic-sensory coupling(SSC) and neurogenic inflammatory response by interfering with 5-hydroxytryptamine(5-HT)ergic neural pathways to relieve colitis and somatic referred pain,and explore the underlying ***:Rats were treated with 5% dextran sodium sulfate(DSS) solution for 7 days to establish a colitis *** rats were randomly divided into the control and model groups according to a random number table(n=6).According to the Research on Rat Acupoint Atlas",sensitized acupoints and non-sensitized acupoints were *** were randomly divided into the control,model,Zusanli-EA(ST 36),Dachangshu-EA(BL 25),and Xinshu(BL 15) groups(n=6),as well as the control,model,EA,and EA+GR113808(a 5-HT inhibitor)groups(n=6).The rats in the control group received no *** was administered on 2 days after modeling using the stimulation pavameters:1 mA,2 Hz,for 30 min,with sparse and dense waves,for 14 consecutive ***113808 was injected into the tail vein at 5 mg/kg before EA for 10 min for 7 consecutive *** sensitivity was assessed with von Frey *** weight and disease activity index(DAI) scores of rats were *** and eosin staining was performed to observe colon *** was analyzed by immunofluorescence *** staining was performed to detect 5-HT and substance P(SP) *** calcitonin gene-related peptide(CGRP) in skin tissue and tyrosine hydroxylase(TH) protein levels in DRG were detected by Western *** levels of hyaluronic acid(HA),bradykinin(BK),prostaglandin I2(PGI2) in skin tissue,5-HT,tryptophan hydroxylase 1(TPH1),serotonin transporters(SERT),5-HT 3 receptor(5-HT3R),and 5-HT 4 receptor(5-HT4R) in colon tissue were measured by enzyme-linked immunosorbent assay(ELISA).Results:BL 25 and ST 36 acupoints were determined as sensitized acupoints,and BL 1

关键词： electroacupuncture sensitized acupoints sympathetic-sensory coupling 5-hydroxytryptamine neurogenic inflammation somaticreferredpain

Research on a Monte Carlo global variance reduction method based on an automatic importance sampling method

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Nuclear Science and Techniques 2024年第5期35卷 200-215页

作者： yi-sheng Hao Zhen Wu shen-shen Gao Rui Qiu Hui Zhang Jun-Li Li Department of Engineering Physics Tsinghua UniversityBeijing 100084China Key Laboratory of Particle and Radiation Imaging of Ministry of Education Beijing 100084China Nuctech Company Limited Beijing 100084China

Global variance reduction is a bottleneck in Monte Carlo shielding *** global variance reduction problem requires that the statistical error of the entire space is *** study proposed a grid-AIS method for the global variance reduction problem based on the AIS method,which was implemented in the Monte Carlo program *** proposed method was validated using the VENUS-Ⅲ international benchmark problem and a self-shielding calculation *** results from the VENUS-Ⅲ benchmark problem showed that the grid-AIS method achieved a significant reduction in the variance of the statistical errors of the MESH grids,decreasing from 1.08×10^(-2) to 3.84×10^(-3),representing a 64.00% *** demonstrates that the grid-AIS method is effective in addressing global *** results of the selfshielding calculation demonstrate that the grid-AIS method produced accurate computational ***,the grid-AIS method exhibited a computational efficiency approximately one order of magnitude higher than that of the AIS method and approximately two orders of magnitude higher than that of the conventional Monte Carlo method.

关键词： Monte Carlo Global variance reduction Reactor shielding Automatic importance sampling

N-Heterocyclic carbene-catalyzed enantioselective(dynamic) kinetic resolutions and desymmetrizations

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Science China Chemistry 2024年第2期67卷 482-511页

作者： yi Zhang Hui Cai Xiuhai Gan Zhichao jin National Key Laboratory of Green Pesticide Key Laboratory of Green Pesticide and Agricultural BioengineeringMinistry of EducationGuizhou UniversityHuaxi DistrictGuiyang550025China

N-heterocyclic carbene-catalyzed enantioselective kinetic resolutions,dynamic kinetic resolutions,and desymmetrization reactions are systematically *** content is organized according to the activation modes involved i... 详细信息

关键词： N-heterocyclic carbene kinetic resolution dynamic kinetic resolution desymmetrization organocatalysis

The Completeness of Accreting Neutron Star Binary Candidates from the Chinese Space Station Telescope

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Research in Astronomy and Astrophysics 2024年第9期24卷 30-38页

作者： Hao shen Shun-yi Lan Xiang-Cun Meng Yunnan Observatories Chinese Academy of Sciences University of Chinese Academy of Sciences International Centre of Supernovae Yunnan Key Laboratory

A neutron star（NS） has many extreme physical conditions, and one may obtain some important information about an NS via accreting neutron star binary（ANSB） systems. The upcoming Chinese Space Station Telescope（CSST）provides an opportunity to search for a large sample of ANSB candidates. Our goal is to check the completeness of the potential ANSB samples from CSST data. In this paper, we generate some ANSBs and normal binaries under the CSST photometric system by binary evolution and binary population synthesis method and use a machine learning method to train a classification model. Although the Precision（94.56%） of our machine learning model is as high as before study, the Recall is only about 63.29%. The Precision/Recall is mainly determined by the mass transfer rate between the NSs and their companions. In addition, we also find that the completeness of ANSB samples from CSST photometric data by the machine learning method also depends on the companion mass and the age of the system. ANSB candidates with a low initial mass companion star（0.1 M⊙to 1 M⊙） have a relatively high Precision（94.94%） and high Recall（86.32%）, whereas ANSB candidates with a higher initial mass companion star（1.1 M⊙to 3 M⊙） have similar Precision（93.88%） and quite low Recall（42.67%）. Our results indicate that although the machine learning method may obtain a relatively pure sample of ANSBs, a completeness correction is necessary for one to obtain a complete sample.

关键词： methods: analytical stars: neutron X-rays: binaries

Exploring the impact of economic growth and energy consumption on SO2 emissions in China based on the Environmental Kuznets Curve hypothesis

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Petroleum Science 2024年第4期21卷 2892-2900页

作者： Bing-Jie Xu yi-Fei shen Hui Qiao Zhi Gao Faculty of Business City University of Macau Rural Development Institute Chinese Academy of Social Sciences School of Marxism Shenzhen Polytechnic University

This study aims to analysis the influence of economic growth(EG) and energy consumption(EC) on sulfur dioxide emissions(SE) in China. Accordingly, this study explores the link between EG, EC, and SE for 30 provinces in China over the span of 2000-2019. This study also analyzes cross-sectional dependence tests, panel unit root tests, Westerlund panel cointegration tests, Dumitrescu-Hurlin(D-H) causality tests. According to the test results, there is an inverted U-shaped association between EG and SE,and the assumption of the Environmental Kuznets Curve(EKC) is verified. The signs of EG and EC in the fixed effect(FE) and random effect(RE) methods are in line with those in the dynamic ordinary least squares(DOLS), fully modified ordinary least squares(FMOLS) and autoregressive distributed lag(ARDL)estimators. Moreover, the results verified that EC can obviously positive impact the SE. To reduce SE in China, government and policymakers can improve air quality by developing cleaner energy sources and improving energy efficiency. This requires the comprehensive use of policies, regulations, economic incentives, and public participation to promote sustainable development.

关键词： SO 2 emissions Economic growth Energy consumption EKC China