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Spring 2021: Simulating plankton behavior using reinforcement learning

Affiliations:
Project Leader: Darren Henrichs
dhenrichs@tamu.edu
Oceanography
Faculty Mentor:
Meeting Times:
Th 3:30-4:30pm
Team Size:
3
Open Spots: 0
Special Opportunities:
Co-authorship on publications resulting from this work; letter of reference
Team Needs:
Proficiency with Python is required. Experience/knowledge of machine learning techniques is a plus. Familiarity with basic biology is a plus but not required.
Description:
The goal of this project is to develop a simulation of swimming and growth characteristics for several phytoplankton species using a reinforcement learning approach. The outputs from this project will be used for an existing individual-based model of phytoplankton for the Gulf of Mexico. There will be some latitude for exploration of alternative approaches to modeling a phytoplankton cell that can then be compared against other models.

 

Written by:
Elif Kilicarslan
Published on:
January 5, 2021

Categories: FullTags: Spring 2021

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