My research builds on the intersection between machine learning and control with special focus on robotic systems. I am interested in theories and algorithms that consider uncertainties and constraints in real-world applications. Particularly, my current research topics include (deep) reinforcement/imitation learning, Gaussian processes, and kernel methods.
M. Mukadam, C. Cheng, X. Yan, & B. Boots
Proceedings of the 2017 IEEE Conference on Robotics and Automation (ICRA-2017)
Y. Pan, C. Cheng, X. Yan, E. Theodorou, & B. Boots
The RSS Workshop on Learning From Demonstrations in High-Dimensional Feature Spaces
C. Cheng, and B. Boots
Advances in Neural Information Processing Systems