报告题目： Statistical Inference in Reinforcement Learning

主 讲 人：史成春

报告时间：2022年3月10日08:00-09:30（伦敦时间，周四）

2022年3月10日 16:00-17:30（北京时间，周四）

报告地点：腾讯会议ID：874-650-891

报告摘要：

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 conference (ICML).

主讲人简介：

史成春是伦敦政治经济学院统计系的助理教授，目前有10余篇第一作者同行评审的文章被顶级统计期刊AOS, JRSSB和JSAS接受，还在顶级机器学习会议（ICML和NeurIPS）上发表了论文。2022年起，担任JRSSB和Journal of Nonparametric Statistics的副主编。目前，他的研究主要是在强化学习和复杂数据中开发统计学习方法。他是2021年皇家统计学会研究奖的获奖者，连续两年获得IMS Travel Award.

邀请人：严晓东

欢迎各位老师同学积极参加！