Patent ID: 11861511
Assignee: TRUSTEES OF TUFTS COLLEGE
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A method for control of a real machine-learning system that is configured to adapt configuration of the real machine-learning system during operation and interaction with a real environment, the method comprising:
automatically updating a configuration of the real-machine-learning system based on operational interaction of said system with the real environment;
after updating of the configuration of the real machine-learning system, capturing a command for interaction with the real environment;
configuring a cloned machine-learning system according to the configuration of the real machine-learning system, the cloned machine-learning system sharing at least some physical hardware components with the real machine-learning system;
using the cloned machine-learning system to execute the command by interacting with a simulated environment;
evaluating whether the execution of the command by the cloned machine-learning system satisfied a test based on its interaction of the cloned machine-learning system with the simulated environment;
if the execution satisfies the test, permitting the captured command to be executed by the real machine-learning system interacting with the real environment; and
if the execution does not satisfy the test, preventing execution of the captured command by the real machine-learning system.