吴飞扬 (Wu /u35/ Fei/feɪ55/ Yang/jɑŋ35/)
ML PhD student at Georgia Tech
吴飞扬 (Wu /u35/ Fei/feɪ55/ Yang/jɑŋ35/)
ML PhD student at Georgia Tech
My research interests lie in the intersection of optimization, reinforcement learning, and robotics. I develop algorithms to efficiently train robots, ideally with theoretical guarantee.
I am co-advised by Prof. Anqi Wu and Prof. Ye Zhao at Georgia Tech. Additionally, I had the privilege to collaborate with Prof. George Lan on stochastic optimization & RL.
Previously, I contributed to the development team of optimization solvers for large-scale linear programming problems at Chinese University of Hong Kong, Shenzhen (CUHKSZ), where I spent my undergrad years in computer science and engineering.
[Sep 2024] Visitng student Xavier Nal finished his master degree project in our lab. See our results here.
Official submission coming soon. Initial version available online.
[May 2024] I interned at Georgia Tech Research Institute on generalizing diffusion policies on robotics manipulation tasks.
[Dec 2023] Our paper on using Inverse Reinforcement Learning accepted in ICRA 2024.
[Oct 2023] Our paper on average reward accepted as poster in Neurips 2023.
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors. 2025. Under review.
Jingyang Ke, Feiyang Wu, Jiyi Wang, Zhaoyuan Gu, Jeffrey Markowitz, Anqi Wu
Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer. 2025. Under review.
Feiyang Wu, Xavier Nal, Zhaoyuan Gu, Ye Zhao, Anqi Wu
Stochastic first-order methods for average-reward Markov decision processes, 2024, Mathematics of Operation Research.
Tianjiao Li, Feiyang Wu, Guanghui Lan
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. Sept 2023, ICRA 2024.
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
Inverse Reinforcement Learning with the Average Reward Criterion, NeurIPS 2023
Feiyang Wu, Jingyang Ke, Anqi Wu
SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network, 2020, IEEE Transactions on Visualization and Computer Graphics (TVCG).
Dong Du, Xiaoguang Han, Hongbo Fu, Feiyang Wu, Yizhou Yu, Shuguang Cui, Ligang Liu