Method and system for an intelligent artificial agent

US12354027B2 · kind B2 · utility

Assignee

• SONY GROUP CORPORATION · JP

Inventors

• Mark Ring · Houston, US
• Satinder Singh Baveja · Ann Arbor, US
• Peter Stone · Bradford, GB
• James MacGlashan · Luthers Corners, US
• Samuel Barrett · Everett, US
• Roberto Capobianco · Itri, IT
• Varun Kompella · Aachen, DE
• Kaushik Subramanian · Fremont, US
• Peter R. Wurman · Acton, US

Key dates

• Filing date: Apr 3, 2018
• Grant date: Jul 8, 2025
• Expiry date: Apr 24, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A method and system for teaching an artificial intelligent agent where the agent can be placed in a state that it would like it to learn how to achieve. By giving the agent several examples, it can learn to identify what is important about these example states. Once the agent has the ability to recognize a goal configuration, it can use that information to then learn how to achieve the goal states on its own. An agent may be provided with positive and negative examples to demonstrate a goal configuration. Once the agent has learned certain goal configurations, the agent can learn policies and skills that achieve the learned goal configuration. The agent may create a collection of these policies and skills from which to select based on a particular command or state.