The Boeing Company

Charles Richard Tullock

Deepak Khosla

Sean Soleyman

Joshua G Fadaie

Yang Chen

Kevin R Martin

Michael A Warren

Fan Hin Hung

Ignacio M Soriano

Shawn Moffit

Calvin Chung

A vehicle management system comprising a computer system and an agent. The agent comprises a machine learning model and a rule system. The machine learning model system is trained to receive observations for the vehicle system and select a behavior for the vehicle system in response to receiving the observations. The rule system is configured to select a set of actions to execute the behavior for the vehicle system in response to a selection of the behavior by the machine learning model system.

Behavior management of multiple vehicles

Apparatus and methods for training a machine learning algorithm (MLA) to control a first aircraft in an environment that comprises the first aircraft and a second aircraft are described. Training of the MLA can include: the MLA determining a first-aircraft action for the first aircraft to take within the environment; sending the first-aircraft action from the MLA; after sending the first-aircraft action, receiving an observation of the environment and a reward signal at the MLA, the observation including information about the environment after the first aircraft has taken the first-aircraft action and the second aircraft has taken a second-aircraft action, the reward signal indicating a score of performance of the first-aircraft action based on dynamic and kinematic properties of the second aircraft; and updating the MLA based on the observation of the environment and the reward signal.

Autonomous behavior generation for aircraft

Growing community of inventors

St. Peters, MO, United States of America

Charles Richard Tullock