Method, system, and computer program product for implementing reinforcement learning

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United States of America

PATENT NO 11978246
APP PUB NO 20230144690A1
SERIAL NO

18092528

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Abstract

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Provided is a method for implementing reinforcement learning by a neural network. The method may include performing, for each epoch of a first predetermined number of epochs, a second predetermined number of training iterations and a third predetermined number of testing iterations using a first neural network. The first neural network may include a first set of parameters, the training iterations may include a first set of hyperparameters, and the testing iterations may include a second set of hyperparameters. The testing iterations may be divided into segments, and each segment may include a fourth predetermined number of testing iterations. A first pattern may be determined based on at least one of the segments. At least one of the first set of hyperparameters or the second set of hyperparameters may be adjusted based on the pattern. A system and computer program product are also disclosed.

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Patent Owner(s)

  • VISA INTERNATIONAL SERVICE ASSOCIATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Gou, Liang San Jose, US 38 160
Yang, Hao San Jose, US 222 1820
Zhang, Wei Fremont, US 2319 17837

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