Statistical infernece in reinforcement learning

简介:

Reinforcement learning (RL) is concerned with how intelligence agents take actions in a given environment to maximize the cumulative reward they receive. In healthcare, applying RL algorithms could assist patients in improving their health status. In ride-sharing platforms, applying RL algorithms could increase drivers' income and customer satisfaction. RL has been arguably one of the most vibrant research frontiers in machine learning over the last few years. Nevertheless, statistics as a field, as opposed to computer science, has only recently begun to engage with reinforcement learning both in depth and in breadth. In today's talk, I will discuss some of my recent work on developing statistical inferential tools for reinforcement learning, with applications to mobile health and ridesharing companies. The talk will cover several different papers published in highly-ranked statistical journals (JASA & JRSSB) and top machine learning conferences (ICML).

时间:2022-11-30 (Wednesday) 16:40-18:00
地点:经济楼N302,线上腾讯会议
会议语言:中文
主办单位:厦门大学经济学院、王亚南经济研究院、邹至庄经济研究院
承办单位:厦门大学经济学院统计学与数据科学系
专题网站:
联系人信息:周梦娜,电话:2182886

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