Search Results for author: Zhengxian Lin

Found 2 papers, 1 papers with code

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations

no code implementations • 28 Sep 2021 • Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T Shureih, Roli Khanna, Minsuk Kahng, Alan Fern

We describe a user interface and case study, where a small group of AI experts and developers attempt to identify reasoning flaws due to inaccurate agent learning.

Decision Making Reinforcement Learning (RL)

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Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions

1 code implementation • ICLR 2021 • Zhengxian Lin, Kim-Ho Lam, Alan Fern

We investigate a deep reinforcement learning (RL) architecture that supports explaining why a learned agent prefers one action over another.

reinforcement-learning Reinforcement Learning (RL)

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