| 2020 | EDM | Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression. | Bita Akram, Hamoon Azizsoltani, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Anam Navied, Kristy Elizabeth Boyer, James C. Lester |
| 2020 | IJCAI | Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). | Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi |
| 2019 | AIED | Hierarchical Reinforcement Learning for Pedagogical Policy Induction. | Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi |
| 2019 | EDM | Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System. | Markel Sanz Ausin, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |
| 2019 | EDM | Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions. | Song Ju, Shitian Shen, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |
| 2019 | EDM | Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning. | Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |
| 2019 | IJCAI | Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts. | Hamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi |