B.S. (Math & MAE), Seoul National University, 2009
Areas of Research
Stochastic control and reinforcement learning
Safe autonomy and risk management
Acknowledgement: Supported by
SK Hynix AIIC (2020-2021),
IITP Cloud Robot AI (2020-2023),
NRF Early Career (2020-2024),
Samsung Electronics DS (2018-2023),
NRF Basic Research Lab (2018-2021),
SNU Creative-Pioneering (2018-2027),
Seoul Digital Foundation (2018-2019),
NSF ECCS (2017-2020), and
NSF CNS (2017-2019).
Awards and Honors
Excellence in Teaching Award, ECE Dept., Seoul National University, 2020
Creative-Pioneering Researcher, Seoul National University, 2018
Best Student Paper Award Finalist, The 55th IEEE Conference on Decision and Control, 2016
Eli Jury Award (Outstanding contribution to Systems, Communications, and Control), UC Berkeley, 2015
University Outstanding Graduate Student Instructor Award, UC Berkeley, 2013
A3DQN: Adaptive Anderson acceleration for deep Q-networks
Melike Ermis, and Insoon Yang Proceedings of the 2020 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), accepted.
A stochastic consensus method for nonconvex optimization on the Stiefel manifold
Jeongho Kim, Myeongju Kang, Dohyun Kim, Seung-Yeal Ha, and Insoon Yang Proceedings of the 59th IEEE Conference on Decision and Control (CDC), accepted.
Linear Algebra for Engineering (EE510), Fa17 (USC)
Linear System Theory (EE585), Fa16 (USC)
Insoon Yang is an Associate Professor of Electrical and Computer Engineering at Seoul National University. He received B.S. degrees in Mathematics and in Mechanical Engineering (summa cum laude) from Seoul National University in 2009; and an M.S. in EECS, an M.A. in Mathematics and a Ph.D. in EECS from UC Berkeley in 2012, 2013 and 2015, respectively.
He was an Assistant Professor of Electrical and Computer Engineering at University of Southern California from 2016 to 2018, and a Postdoctoral Associate with the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology from
2015 to 2016.
His research interests are in stochastic control and optimization, and reinforcement learning, with application to cyber-physical systems and safe autonomy. He is a recipient of the 2015 Eli Jury Award and a finalist for the Best Student Paper Award at the 55th IEEE Conference on Decision and Control 2016. He is an associate editor of the IEEE CSS Conference Editorial Board and a vice-chair of the IFAC Stochastic Systems Technical Committee.
Erdös number: 3 (S. Shankar Sastry - Béla Bollobás - Paul Erdös)