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近年来,人工智能技术在足球训练领域的应用产生重要影响,尤其是博弈对抗技术使球队和球员的行为策略有了理论技术基础,愈加受到体育专业领域重视。同时,由于足球推演面临大时空跨度、多个体合作与对抗、强不确定、稀疏奖励等挑战,任务复杂度高于围棋、一般即时策略类游戏等基础问题,也被看作决策智能研究的典型场景和测试平台。
中国科学技术大学潘建伟、陆朝阳、刘乃乐等组成的研究团队,基于“九章”光量子计算原型机完成了对“稠密子图”和“Max-Haf”两类图论问题的求解,通过实验和理论研究了“九章”处理这两类图论问题为搜索算法带来的加速,以及该加速对于问题规模和实验噪声的依赖关系。该成果系首次在具有量子计算优越性的光量子计算原型机上开展的面向具有应用价值问题的实验研究。近日,相关研究成果以“编辑推荐”的形式,发表在《物理评...
近日,南科大计算机系Hisao Ishibuchi教授课题组6篇论文被遗传与进化计算国际会议GECCO 2023接收。其中2篇论文的第一作者为南方科技大学计算机科学与工程系在读本科生。他们分别是:计算机系2019级本科生安广言、吴子彧、沈挚龙(共同第一作者)和2020级本科生朱晗。论文通讯作者为计算机系研究副教授尚可和讲席教授Hisao Ishibuchi。
In this paper, we consider optimization problems over closed embedded submanifolds of \mathbb{R}^n, which are defined by the constraints c(x)=0. We propose a class of constraint dissolving approaches ...
This paper considers the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochastic dynamic ...
胡容,女,教授,生于1981年,中共党员,博士研究生学历,理学博士学位,四川省第十二批学术和技术带头人后备人选。
Despite widespread use in online transactions, rating systems only provide summary statistics of buyers' diverse opinions at best. To investigate the consequences of this coarse form of information ag...
In this talk, a distributed stochastic gradient (SG) algorithm is proposed where the estimators are aimed to collectively estimate an unknown time-invariant parameter from a set of noisy measurements ...
Similar to the role of Markov decision processes in reinforcement learning, Markov games (also known as stochastic games) form the basis for the study of multi-agent reinforcement learning and sequenc...
人口快速老龄化、超大规模老年人口是中国式现代化面临的重要国情。当下,中国正面临人口老龄化加速发展期与实现中国式现代化过程叠加的发展新阶段,创造有利于经济高质量发展的人口条件,以及形成适应人口老龄化的经济发展新模式,是中国社会主义现代化发展的必由之路。因此,要以积极的态度看待人口老龄化带来的风险和挑战,挖掘老龄社会中存在的机遇,并主动应对人口老龄化问题,从根本上解决造成人口老龄化不断加速的难点、痛点...
In this talk, we discuss a unifying deep unfolding multi-sampling-ratio interpretable CS-MRI framework. The combined approach offers more generalizability than the existing deep-learning-based CS-MRI ...
Deep learning based methods have shown great potential for solving Vehicle Routing Problems (VRPs) in recent years. In the current learning based models, attention mechanism plays an important role an...
Passengers left behind is an important measure to describe the degree of congestion in metro systems. Note that passengers' left behind probabilities are different for their different tap-in times. Th...
We introduce the uncertainty of psychological motivation into a reciprocity model and explore its implications on behavior. More precisely, we assume that reciprocity sensitivities are subject to inco...
We focus on the nonconvex-strongly-convex bilevel optimization problem (BLO). In this BLO, the objective function of the upper-level problem is nonconvex and possibly nonsmooth, and the lower-level pr...

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