Learning Discrete Bayesian Networks from Continuous Data. - Yi-Chun Chen 004; Tim Allan Wheeler; Mykel J. Kochenderfer (J. Artif. Intell. Res., 2017)

Improving Offline Value-Function Approximations for POMDPs by Reducing Discount Factors. - Yi-Chun Chen 004; Mykel J. Kochenderfer; Matthijs T. J. Spaan (IROS, 2018)

Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. - Kunal Menda; Yi-Chun Chen 004; Justin Grana; James W. Bono; Brendan D. Tracey; Mykel J. Kochenderfer; David H. Wolpert (IEEE Trans. Intell. Transp. Syst., 2019)

Decision Forest: A Nonparametric Approach to Modeling Irrational Choice. - Yi-Chun Chen 004; Velibor V. Misic (Manag. Sci., 2022)

Column-Randomized Linear Programs: Performance Guarantees and Applications. - Yi-Chun Akchen; Velibor V. Misic (Oper. Res., 2025)