US Patent 11568271 Machine learning in resource-constrained environments

In one embodiment, a method includes receiving a request to determine whether to perform an action, wherein the action is based on one or more feature values, generating a prediction of whether to perform the action, wherein the prediction is generated using a machine-learning model that is trained based on the feature values, a heuristic value based on the feature values, and one or more feedback scores based on corresponding past predictions generated by the machine-learning model, where the heuristic value indicates whether to perform the action based on one or more predetermined conditions that are based on the feature values, performing the action when the prediction indicates that the action is to be performed, receiving a feedback score that indicates a level of effectiveness of the prediction, and updating the machine-learning model based on the feedback score, the feature values, and the heuristic value.