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

Claim 0:
1. A system for generalization of an agent to unanticipated environmental changes, the system comprising:
one or more processors and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, 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 and, 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.