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REGRET: 作品数：56被引量：27H指数：2; 导出分析报告; 相关领域：文化科学更多>>; 相关作者：凌青刘正兵王艳马勇顾祖良更多>>; 相关机构：安徽理工大学中国科学技术大学重庆师范大学复旦大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金高等学校学科创新引智计划安徽省高校省级自然科学研究项目安徽省自然科学基金更多>>

An Enhanced VIKOR and Its Revisit for the Manufacturing Process Application: 《Computers, Materials & Continua》2025年第5期1901-1927,共27页Ting-Yu Lin Kuo-Chen Hung Josef Jablonsky Kuo-Ping Lin; supported by the National Science and Technology Council(NSTC);Taiwan(Grant No.NSTC 113-2222-E-029-005),with additional computational resources provided by the project;The work of Josef Jablonsky was supprted by the Faculty of Informatics and Statistics,Prague University of Economics and Business。; VlseKriterijumska Optimizacija I Kompromisno Resenje(VIKOR)has been developed and applied for over twenty-five years,gaining recognition as a prominent multi-criteria decision-making(MCDM)method.Over this period,numer...; 关键词：Multi-criteria decision-making(MCDM) VlseKriterijumska Optimizacija I Kompromisno Resenje(VIKOR) decision analysis evaluated group utility evaluated individual regret manufacturing process selection

Power of Second Opportunity:Dynamic Pricing with Second Chance: 《Tsinghua Science and Technology》2025年第2期543-560,共18页Chensheng Ma Shaojie Tang Zhao Zhang; supported by the National Natural Science Foundation of China(No.U20A2068).; In this paper,we consider the following dynamic pricing problem.Suppose the market price vt of an item arriving at time t is determined by v_(t)=θ^(T)x_(t),where x_(t)is the feature vector of that item andθis an unk...; 关键词：dynamic pricing multiple pricing REGRET online learning ellipsoid method

Exploiting a No-Regret Opponent in Repeated Zero-Sum Games: 《Journal of Shanghai Jiaotong university(Science)》2025年第2期385-398,共14页LI Kai HUANG Wenhan LI Chenchen DENG Xiaotie; the Science and Technology Innovation 2030-"New Generation Artificial Intelligence"Major Project(No.2018AAA0100901)。; In repeated zero-sum games,instead of constantly playing an equilibrium strategy of the stage game,learning to exploit the opponent given historical interactions could typically obtain a higher utility.However,when pl...; 关键词：no-regret learning repeated game opponent exploitation opponent modeling dynamical system system identification recurrent neural network(RNN)

Learnability in Online Kernel Selection with Memory Constraint via Data-Dependent Regret Analysis: 《Journal of Computer Science & Technology》2025年第1期73-84,共12页Jun-Fan Li Shi-Zhong Liao; supported by the National Natural Science Foundation of China under Grant No.62076181.; Online kernel selection is a fundamental problem of online kernel methods.In this paper,we study online kernel selection with memory constraint in which the memory of kernel selection and online prediction procedures ...; 关键词：model selection online kernel learning memory constraint LEARNABILITY

Partial observation learning-based task offloading and spectrum allocation in UAV collaborative edge computing: 《Digital Communications and Networks》2024年第6期1635-1643,共9页Chaoqiong Fan Xinyu Wu Bin Li Chenglin Zhao; supported by the Natural Science Foundation of China(NSFC)under Grant 62101051;the Guangdong Key Laboratory of Intelligent Information Processing;Shenzhen Key Laboratory of Media Security,Shenzhen 518060,China。; Capable of flexibly supporting diverse applications and providing computation services,the Mobile Edge Computing(MEC)-assisted Unmanned Aerial Vehicle(UAV)network is emerging as an innovational paradigm.In this paradi...; 关键词：UAV networks Edge computing Task offloading Spectrum allocation Partial observation Regret learning

Random Regret Minimization Model of Carpool Travel Choice for Urban Residents Considering Perceived Heterogeneity and Psychological Distance: 《Journal of Shanghai Jiaotong university(Science)》2024年第6期995-1008,共14页XIAO Qiang HE Ruichun WANG Ziyi; the National Natural Science Foundation of China(No.52062026);the Educational Commission of Gansu Province of China(No.2019A-041);the Double-First Class Major Research Programs of Educational Department of Gansu Province(No.GSSYLXM-04)。; Carpooling is a sustainable,economical,and environmentally friendly solution to reduce air pollution and ease traffic congestion in urban areas.However,existing regret theories lack consideration of the heterogeneity ...; 关键词：carpool travel behavior random regret minimization theory anticipated regret value perceived heterogeneity psychological distance

I Regret What I Did: 《中学生英语》2024年第46期7-7,共1页魏杰陈传光(指导); Today I went shopping by bus.There was a lot of people on the bus.A woman got on the bus with a baby in her arms.No seat was empty.The woman looked a little disappointed.Just then an old woman stood up and gave up her...; 关键词：SHOPPING JUST DIS

Online Weakly DR-Submodular Optimization Under Stochastic Cumulative Constraints: 《Tsinghua Science and Technology》2024年第6期1667-1673,共7页Junkai Feng Ruiqi Yang Yapu Zhang Zhenning Zhang; supported by the National Natural Science Foundation of China(Nos.12101587,12001025,and 12131003);the China Postdoctoral Science Foundation(No.2022M720329);the Postdoctoral Research Foundation of Chaoyang District(Nos.Q1006E11202301 and Q1006E11202302).; In this paper,we study a class of online continuous optimization problems.At each round,the utility function is the sum of a weakly diminishing-returns(DR)submodular function and a concave function,certain cost associ...; 关键词：online maximization weakly DR-submodular REGRET STOCHASTIC

Improved dynamic regret of distributed online multiple Frank-Wolfe convex optimization: 《Science China(Information Sciences)》2024年第11期160-175,共16页Wentao ZHANG Yang SHI Baoyong ZHANG Deming YUAN; supported by National Natural Science Foundation of China(Grant Nos.62273181,62373190,62221004);in part by Postgraduate Research and Practice Innovation Program of Jiangsu Province(Grant No.KYCX220453)。; In this paper,we explore a distributed online convex optimization problem over a time-varying multi-agent network.The network aims to minimize a global loss function through local computation and communication with ne...; 关键词：distributed online convex optimization multiple iterations Frank-Wolfe algorithm dynamic regret gradient tracking method

Learning in games:a systematic review: 《Science China(Information Sciences)》2024年第7期129-155,共27页Rong-Jun QIN Yang YU; supported by National Key Research and Development Program of China(Grant No.2020AAA0107200);National Natural Science Foundation of China(Grant No.61921006).; Game theory studies the mathematical models for self-interested individuals.Nash equilibrium is arguably the most central solution in game theory.While finding the Nash equilibrium in general is known as polynomial pa...; 关键词：non-cooperative games learning in games no-regret learning reinforcement learning superhuman AI

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