Feature-Based Interpretable Reinforcement Learning based on State-Transition Models. - Omid Davoodi; Majid Komeili (SMC, 2021)

An Approach for the Evaluation and Correction of Manually Designed Video Game Levels Using Deep Neural Networks. - Omid Davoodi; Mehrdad Ashtiani; Morteza Rajabi (Comput. J., 2022)

On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis. - Omid Davoodi; Shayan Mohammadizadehsamakosh; Majid Komeili (CoRR, 2023)

Feature-Based Explainable Reinforcement Learning in Environments with Multiple Sources of Risk. - Omid Davoodi; Majid Komeili (ICPRAI (1), 2024)