REINFORCEMENT MACHINE LEARNING WITH MULTI-LEVEL AGENT SEARCH AND HYPERPARAMETER OPTIMIZATION
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United States of America
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Issued Date -
Dec 26, 2024
app pub date -
Jun 26, 2023
filing date -
Jun 26, 2023
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Abstract
According to a present invention embodiment, a system identifies a plurality of configurations for machine learning models. Each configuration indicates a machine learning model and a corresponding technique to determine parameters for the machine learning model. The plurality of configurations are evaluated by training the machine learning model of the plurality of configurations according to the parameters determined by the corresponding technique. Performance of the machine learning models of the plurality of configurations is monitored, and resources used for evaluating at least one configuration are adjusted based on the performance of the machine learning model for the at least one configuration relative to the performance of the machine learning models of others of the plurality of configurations. Embodiments of the present invention further include a method and computer program product for training machine learning models in substantially the same manner described above.
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