International Business Machines Corporation
REINFORCEMENT TESTING OF A NEURAL NETWORK

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Abstract:

Aspects of the invention include creating a neural network including neurons to which actions are assigned in representation of test cases. Tests of various instantiations of the neural network are executed for each test case and a state of the neural network after each test is evaluated to determine a fitness score of a corresponding instantiation. Instantiations having fitness scores that exceed a predefined level and identified and the instantiations having the fitness scores that exceed the predefined level are selected for adjustments. The executing, the evaluating, the identifying and the selecting are iteratively repeated in order to obtain desired fitness scores.

Status:
Application
Type:

Utility

Filling date:

10 Dec 2020

Issue date:

16 Jun 2022