Grape Cold Hardiness Prediction via Multi-Task Learning

no code implementations • 21 Sep 2022 • Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern

In this paper, we study whether deep learning models can improve cold hardiness prediction for grapes based on data that has been collected over a 30-year time period.

Multi-Task Learning

Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL

no code implementations • 4 Jun 2022 • Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern

Reinforcement learning (RL) agents are commonly evaluated via their expected value over a distribution of test scenarios.

Reinforcement Learning (RL)

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)