Search Results - "Henslee, Althea C."

Data Preprocessing Using AutoML: A Survey by Salhi, Abderahim, Henslee, Althea C., Ross, James, Jabour, Joseph, Dettwiller, Ian

“…Data preprocessing is a crucial step in any machine learning (ML) pipeline, as the quality of the data can greatly impact the accuracy and effectiveness of the…”
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A Study of Model Based and Model Free Offline Reinforcement Learning by Shukla, Indu, Dozier, Haley R., Henslee, Althea C.

“…Reinforcement learning (RL) has received considerable attention for building autonomous systems with trained agents that interact with environments to learn…”
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Model Based and Model Free Offline Reinforcement Learning Combat Simulation Scenario by Indu, Shukla, Henslee, Althea C., Dozier, Haley R., Hansen, Brandon, Jabour, Joseph E., Dettwiller, Ian

“…Reinforcement learning (RL) is machine learning (ML) paradigm that has produced systems capable of performing at or above a professional-human level. This…”
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Automated Machine Learning Model Selection Analysis by Jabour, Joseph E., Henslee, Althea C., Dozier, Haley R., Shukla, Indu, Hansen, Brandon, Salhi, Abderahim, Dettwiller, Ian

“…Machine learning (ML) is a branch of artificial intelligence (AI) in which a program uses large sets of data to "learn" methods and patterns. Following the…”
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Machine Learning Opportunities for Improving Logistics within the Army by Jabour, Joseph E., Thomas Arnold, L., Shukla, Indu, Hansen, Brandon E., Dozier, Haley R., Detwiller, Ian D., Henslee, Althea C

“…This poster provides a brief insight to the workings of logistics within the Army. While the Army is a massive network of various different branches, each with…”
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Offline Multi-Agent Reinforcement Learning in Custom Game Scenario by Indu, Shukla, Wilson, William R., Henslee, Althea C., Dozier, Haley R.

“…Offline reinforcement learning (RL) has garnered considerable attention in recent years due to its attractive capability of learning policies from offline…”
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