Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning. - Wanggang Shen; Xun Huan (CoRR, 2021)

Variational Sequential Optimal Experimental Design using Reinforcement Learning. - Wanggang Shen; Jiayuan Dong; Xun Huan (CoRR, 2023)

A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning. - Tahera Hossain; Wanggang Shen; Anindya Das Antar; Snehal Prabhudesai; Sozo Inoue; Xun Huan; Nikola Banovic 001 (ACM Trans. Comput. Hum. Interact., 2023)

Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo. - Shijie Zhong; Wanggang Shen; Tommie A. Catanach; Xun Huan (CoRR, 2024)