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OMB Individually Reported

Reinforcement Learning for Helmholtz Coil Operation and Simulation [2024 INV#WO0000000109497]

Low riskExact public inventory row

Description

optimize performance of its magnetic observatories

Detailed example

optimized performance in generating uniform magnetic fields

AI / analytics pattern

Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

reinforcement learning (RL) can significantly aid in the operation of a Helmholtz coil by optimizing its performance in generating uniform magnetic fields

Controls / human review

ATO: No; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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