Grain boundary control in colloidal self-assembly with dynamic programming. - Xun Tang; Yuguang Yang 002; Michael A. Bevan; Martha A. Grover (ACC, 2014)

An M-estimator for reduced-rank system identification. - Shaojie Chen; Kai Liu; Yuguang Yang 002; Yuting Xu; Seonjoo Lee; Martin A. Lindquist; Brian S. Caffo; Joshua T. Vogelstein (Pattern Recognit. Lett., 2017)

Efficient Navigation of Active Particles in an Unseen Environment via Deep Reinforcement Learning. - Yuguang Yang 002; Michael A. Bevan; Bo Li 095 (CoRR, 2019)

A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control. - Yuguang Yang 002 (CoRR, 2019)

Efficient Navigation of Colloidal Robots in an Unknown Environment via Deep Reinforcement Learning. - Yuguang Yang 002; Michael A. Bevan; Bo Li 095 (Adv. Intell. Syst., 2020)

Hierarchical Planning with Deep Reinforcement Learning for 3D Navigation of Microrobots in Blood Vessels. - Yuguang Yang 002; Michael A. Bevan; Bo Li 095 (Adv. Intell. Syst., 2022)