Hrl Laboratories, LLC

Alexander J Gabourie

Kyungnam Kim

Soheil Kolouri

Mohammad Rostami

Described is a system for unsupervised domain adaptation in an autonomous learning agent. The system adapts a learned model with a set of unlabeled data from a target domain, resulting in an adapted model. The learned model was previously trained to perform a task using a set of labeled data from a source domain. The set of labeled data has a first input data distribution, and the set of unlabeled target data has a second input data distribution that is distinct from the first input data distribution. The adapted model is implemented in the autonomous learning agent, causing the autonomous learning agent to perform the task in the target domain.

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Stanford, CA, United States of America

Alexander J Gabourie