时 间：2019年5月17日(周五) 9:30 – 11:00
地 点：浙江大学紫金港校区行政楼1002
主讲人：宋洁副教授 北京大学工业工程与管理系
主持人：华中生教授 浙江大学管理学院
题 目：Online Contextual Learning with Perishable Resource Allocation.
摘 要：
We formulate a novel class of online matching problems with learning. In these problems, randomly arriving customers must be matched to perishable resources so as to maximize a total expected reward. The matching accounts for variations in rewards among different customer-resource pairings. It also accounts for the perishability of the resources. For concreteness, we focus on healthcare platforms, but our work can be easily extended to other service applications. Our work belongs to the online resource allocation streams in service system. We propose the first online algorithm for contextual learning and resource allocation with perishable resources. Our algorithm explores and exploits in distinct interweaving phases. We prove that our algorithm achieve an expected regret per period of O(K −1/3 ),where K is the number of planning cycles. We propose a pioneer algorithm that helps service system to optimize resource allocation decisions while learns the uncertain reward of matching customer-resource pairings.
报告人简介：
宋洁，北京大学工业工程与管理系长聘副教授，博士生导师，北京大学博雅青年学者, IEEE Senior Member。研究方向是随机优化建模和算法设计，及应用于医疗服务，能源管理和国家战略储备等复杂服务系统的资源优化配置。荣获2013年IEEE机器人与自动化协会最佳论文奖，北京大学2016年，2017年教学优秀奖。担任IEEE Trans.等三份国际SCI期刊编委，以及IEEE国际医疗自动会管理委员会主席。
欢迎广大师生前来参加！
