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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...
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...
A matrix-based framework for the modeling, analysis and dynamics of Bayesian games are presented using the semi-tensor product of matrices. Static Bayesian games are considered first. A new conversion...
We study several fairness notions in allocating indivisible chores (i.e., items with non-positive utilities) to agents, who have additive and submodular cost functions. The fairness criteria we are co...
The 2020 Nobel Prize in Economics was awarded to Paul Milgrom and Robert Wilson for their improvements to auction theory and inventions of new auction formats. Their theoretical discoveries have impro...
In markets for indivisible resources such as workers and objects, subsidy and taxation for an agent may depend on the set of acquired resources and prices. This paper investigates how such transfer po...
Multi-stage service is common in healthcare. One widely adopted approach to manage patient visits in multi-stage service is to provide patients with visit itineraries, which specify individualized app...
We investigate informal risk sharing using a dynamic network game model. In each round, a randomly selected agent experiences a negative shock, and the agent's friends decide whether to provide assist...
We study the performance of fixed-price mechanisms in the bilateral trade problem. We improve the approximation ratios of welfare-optimal mechanisms in several settings. In particular, when we have on...
不完全信息博弈是当今的研究热点,也是人工智能领域所关注的。本报告主要针在分布式鲁棒博弈、在线博弈、安全博弈等方面介绍我们近年来的研究成果,我们的研究重点主要是在理论上给出严格的均衡分析或策略分析,为了解决相关问题,采用了近似算法、遗憾度分析、超博弈等进行研究,获得有一些有趣的结果。

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