A framework that fuses uncertain human advice, encoded as subjective logic opinions, into the policy of a reinforcement learning agent improves learning of model transformation sequences, but only convincingly at low-to-moderate advice uncertainty.
Facil- itating the migration to the microservice architecture via model-driven reverse engineering and reinforcement learning,
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Complex Model Transformations by Reinforcement Learning with Uncertain Human Guidance
A framework that fuses uncertain human advice, encoded as subjective logic opinions, into the policy of a reinforcement learning agent improves learning of model transformation sequences, but only convincingly at low-to-moderate advice uncertainty.