Meet the Volume Editor

Prof. Dr. Igor A. Sheremet is a full member of the Russian Academy of Sciences (RAS) and a scientific supervisor and chair of the Science-Technological Board of the National Computer Corporation (NCC), Russia. His main areas of research are systems analysis, artificial intelligence, data science, and digital economy. He is a co-chair of the Advanced Mathematical Tools for Data-Driven Applied Systems Analysis task group established by the Committee

on Data (CODATA) of the International Science Council (ISC), a vice-chair of the Committee for Systems Analysis of the RAS, and a vice-chair of the RAS Scientific Board for Robotics and Mechatronics. During 2014–2020 he was a member of the Science Advisory Committee (SAC) of the International Institute for Applied Systems Analysis (IIASA). During 2020–2022 he was a chair of the joint CODATA-IIASA working group Big Data and Systems Analysis.

## Contents


### **Chapter 6 91** Approximate Dynamic Programming: An Efficient Machine Learning Algorithm *by Zhou Shaorui, Cai Ming and Zhuo Xiaopo*
