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Zhengxian Lin
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2020 – today
- 2022
- [j2]Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Caleb R. Matthews, Zhengxian Lin, Minsuk Kahng, Alan Fern, Margaret Burnett:
Finding AI's Faults with AAR/AI: An Empirical Study. ACM Trans. Interact. Intell. Syst. 12(1): 1:1-1:33 (2022) - 2021
- [j1]Jonathan Dodge, Roli Khanna, Jed Irvine, Kin-Ho Lam, Theresa Mai, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Andrew Anderson, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern:
After-Action Review for AI (AAR/AI). ACM Trans. Interact. Intell. Syst. 11(3-4): 29:1-29:35 (2021) - [c2]Zhengxian Lin, Kin-Ho Lam, Alan Fern:
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. ICLR 2021 - [i2]Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern:
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. CoRR abs/2109.13978 (2021) - 2020
- [c1]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, Alan Fern:
Keeping it "organized and logical": after-action review for AI (AAR/AI). IUI 2020: 465-476 - [i1]Zhengxian Lin, Kim-Ho Lam, Alan Fern:
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. CoRR abs/2010.05180 (2020)
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