The Intelligent Driving Laboratory (iDLAB) is a part of the School of Vehicle and Mobility (SVM) at Tsinghua University. This lab focuses on advanced automatic control and machine learning algorithms, and their applications on autonomous driving, connected vehicles, driver assistance and driver behavior analysis, etc. Our research interests are loosely divided into four categories: (1) Perception, decision and control for autonomous vehicles and driver assistance systems; (2) Reinforcement learning and optimal control; (3) Distributed estimation, learning and control; and (4) Large-scale optimization and control of eco-automation and electrified powertrain. We have achieved a series of important research results and peer-reviewed publications publicly available through this website.
<Reinforcement learning and control>一书自2018年启动撰写，至今已历三年，目的是为清华大学开设的同名研究生课程<强化学习与控制>，最新版本的前5章已上传课题组网站。