Patent ID: 11907815
Assignee: HRL LABORATORIES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC B  G

Claim 6:
7. A computer implemented method for generalization of an agent to unanticipated environmental changes, the method comprising an act of:
causing one or more processers to execute instructions encoded on a nontransitory computer-readable medium, such that upon execution, the one or more processors perform operations of:
extracting a set of concepts from an agent's experiences of an environment, the environment having associated semantics and dynamics;
consolidating the extracted set of concepts into an episodic world model;
generating, using the episodic world model, a dream sequence of prospective self-generated simulations based on a selected set of concepts, the self-generated simulations being generated without sensor data and to respect the environment's semantics and dynamics by being constrained by the environment's semantics and dynamics;
converting the dream sequence into a format that a machine learning (ML) system can learn from; and
using the format of the dream sequence for augmented training of the agent to operate in the environment with the generalization to unanticipated changes in the environment.