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Niao He

Assistant Professor of Assistant Professor of Industrial and Enterprise Systems Engineering, UIUC

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Project Involvement

Year 1

Explainable Reinforcement Learning for Next Generation Food Systems

The proposed XRL framework that utilizes reinforcement learning addresses control and decision-making challenges in agriculture, food processing/distribution, and molecular breeding by accessing a simulator/model of the food system and relevant variables provided by domain experts.

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#Core AI Technologies#Agricultural Production

AIFS, UC Davis
1 Shields Ave
PDSB 1033
Davis, CA 95616
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AI Institute for Next Generation Food Systems (AIFS) is supported by the United States Department of Agriculture – National Institute of Food and Agriculture and award #2020-67021-32855 in collaboration with the National Science Foundation. AIFS manages the AI Institutes Virtual Organization (AIVO) under grants 2231251, and 2332864, 2437003, and 2528968 from the National Science Foundation, as well as a Google.org grant.

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aifs@ucdavis.edu

530-760-9739

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