BAI Haoyu 白昊昱

E-mail: Twitter: @bhy

Hello! I'm doing research on model based planning under uncertainty with Prof. David Hsu and Prof. Lee Wee Sun.

Our approach for undertainty planning is based on Partially Observable Markov Decision Processes (POMDPs). We develop scalable and efficient algorithms for very large and continuous POMDPs. We also apply the algorithm to robotics and other practical problems, such as planning for unmanned aircraft collision avoidance.

Publications:

[1] Haoyu Bai, David Hsu, Wee Sun Lee, and Vien Ngo. Monte carlo value iteration for Continuous-State POMDPs. In Algorithmic Foundations of Robotics IX-Proc. Workshop on the Algorithmic Foundations of Robotics (WAFR), page 175-191, 2010. pdf

[2] Haoyu Bai, David Hsu, Wee Sun Lee, and Mykel Kochenderfer. Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs. In Proceedings of Robotics: Science and Systems,2011. pdf