Larry D. Pyeatt

South Dakota School of Mines and Technology

H-index: 14

North America-United States

About Larry D. Pyeatt

Larry D. Pyeatt, With an exceptional h-index of 14 and a recent h-index of 8 (since 2020), a distinguished researcher at South Dakota School of Mines and Technology, specializes in the field of Robotics, Reinforcement Learning, Partially Observable Markov Decision Processes, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Generative Modeling for Communication Systems Testing and Data Sharing

Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict Tennis

Comparing Different Data Representations and Machine Learning Models to Predict Tennis

Larry D. Pyeatt Information

University	South Dakota School of Mines and Technology
Position	(SDSMT)
Citations(all)	1119
Citations(since 2020)	274
Cited By	1001
hIndex(all)	14
hIndex(since 2020)	8
i10Index(all)	18
i10Index(since 2020)	8
Email	Access Email
University Profile Page	South Dakota School of Mines and Technology
Google Scholar	View Google Scholar Profile

Larry D. Pyeatt Skills & Research Interests

Robotics

Reinforcement Learning

Partially Observable Markov Decision Processes

Artificial Intelligence

Top articles of Larry D. Pyeatt

Title	Author(s)	Publication Date
Deep Generative Modeling for Communication Systems Testing and Data Sharing	Trevor Krason Kyle Caudle Randy Hoover Larry Pyeatt	2023
Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict Tennis	Arisoa S Randrianasolo Larry D Pyeatt	2022/10/13
Comparing Different Data Representations and Machine Learning Models to Predict Tennis	Arisoa S Randrianasolo Larry D Pyeatt	2022/3/3