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Kai-Jie Lin

Computer science student in NYCU, interested in Reinforcement Learning.

About Me

Hi, I am currently an undergraduate student at the Department of Computer Science, National Yang Ming Chiao Tung University. I am advised by Prof. Ping-Chun Hsieh. My research interests include Reinforcement Learning, Bayesian Optimization, and Generative Models. I was an exchange student at University of Illinois Urbana-Champaign in the 2024 fall.

News

  • [Jan. 2025]Our paper BOFormer has been accepted at ICLR 2025.
  • [Aug. 2024]Becoming an exchange student of University of Illinois Urbana-Champaign(UIUC).

Publications

[1] BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
Yu Heng Hung*, Kai-Jie Lin*, Yu-Heng Lin*, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh (*=equal advising)
International Conference on Learning Representations (ICLR), 2025
We present a generalized deep Q-learning framework and propose BOFormer, which substantiates the framework for Multi-Objective Bayesian Optimization (MOBO) via sequence modeling.