Larry Pyeatt

Associate Professor

Piedmont, South Dakota, United States
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Summary

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Larry Pyeatt is an associate professor and researcher with over 25 years in academia and 13 years at the South Dakota School of Mines and Technology focused on probabilistic AI, robotics, and reinforcement learning for partially observable, uncertain, and non-stationary environments. He blends theoretical work on POMDPs and function approximation with practical systems—mobile robot navigation, real-time embedded control, and even machine learning–driven sedation control in surgery. A seasoned educator and graduate advisor, he has a track record of growing and improving graduate programs and mentoring MS/PhD research. His background in embedded control and industry roles informs a pragmatic approach to deploying robust AI in constrained, safety-critical settings.
code13 years of coding experience
job26 years of employment as a software developer
bookMaster of Science, Computer Science, Master of Science, Computer Science at Texas Tech University
bookDoctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at Colorado State University
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Github Skills (39)

lists10
revit-api10
multicore10
linux10
ros10
gentoo9
management9
tikz8
paloaltonetworks8
ebnf8
java7
okta7
latex7
ebuild7
openconnect6

Programming languages (6)

ShellC++RustCTeXPython

Github contributions (5)

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pyeatt/ebnf2tikz

Feb 2021 - Feb 2022

It draws pretty pictures of language syntax. Specifically, it is an optimizing compiler to convert (annotated) Extended Backus–Naur Form (EBNF) to railroad diagrams expressed as LaTeX TikZ commands.
Contributions:2 releases, 136 commits, 12 PRs in 11 months
railroad-diagramsdiagramsdrawslanguage-syntaxextended
pyeatt/SDSMT_thesis

Aug 2022 - Mar 2025

Contributions:1 release, 1 PR, 41 pushes in 2 years 7 months
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Larry Pyeatt - Associate Professor