Keeping it "organized and logical": after-action review for AI (AAR/AI). - Theresa Mai; Roli Khanna; Jonathan Dodge; Jed Irvine; Kin-Ho Lam; Zhengxian Lin; Nicholas Kiddle; Evan Newman; Sai Raja; Caleb R. Matthews; Christopher Perdriau; Margaret Burnett; et al. (IUI, 2020)

Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. - Zhengxian Lin; Kin-Ho Lam; Alan Fern (ICLR, 2021)

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. - Kin-Ho Lam; Zhengxian Lin; Jed Irvine; Jonathan Dodge; Zeyad T. Shureih; Roli Khanna; Minsuk Kahng; Alan Fern (CoRR, 2021)

After-Action Review for AI (AAR/AI). - Jonathan Dodge; Roli Khanna; Jed Irvine; Kin-Ho Lam; Theresa Mai; Zhengxian Lin; Nicholas Kiddle; Evan Newman; Andrew Anderson 002; Sai Raja; Caleb R. Matthews; Christopher Perdriau; et al. (ACM Trans. Interact. Intell. Syst., 2021)

Finding AI's Faults with AAR/AI: An Empirical Study. - Roli Khanna; Jonathan Dodge; Andrew Anderson 002; Rupika Dikkala; Jed Irvine; Zeyad Shureih; Kin-Ho Lam; Caleb R. Matthews; Zhengxian Lin; Minsuk Kahng; Alan Fern; Margaret Burnett (ACM Trans. Interact. Intell. Syst., 2022)