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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.

In the fall semester of 2024, I will be an exchange student at University of Illinois Urbana-Champaign.

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, Ping-Chun Hsieh (*=equal advising)
International Conference on Machine Learning (ICML) AutoRL Workshop, 2024 (Spotlight)
We present a generalized deep Q-learning framework and propose BOFormer, which substantiates the framework for Multi-Objective Bayesian Optimization (MOBO) via sequence modeling.