{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11288568","patent":{"patent_number":"US-11288568","title":"Reinforcement learning using advantage estimates","assignee":null,"inventors":[],"filing_date":"2017-02-09T00:00:00.000Z","publication_date":"2022-03-29T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G06N","G06N"],"num_claims":15,"abstract":"Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for computing Q values for actions to be performed by an agent interacting with an environment from a continuous action space of actions. In one aspect, a system includes a value subnetwork configured to receive an observation characterizing a current state of the environment and process the observation to generate a value estimate; a policy subnetwork configured to receive the observation and process the observation to generate an ideal point in the continuous action space; and a subsystem configured to receive a particular point in the continuous action space representing a particular action; generate an advantage estimate for the particular action; and generate a Q value for the particular action that is an estimate of an expected return resulting from the agent performing the particular action when the environment is in the current state."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Reinforcement learning using advantage estimates","description":"Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for computing Q values for actions to be performed by an agent interacting with an environment from a","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11288568","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11288568","citation_suggestion":"Patentable. \"Reinforcement learning using advantage estimates\" (US-11288568). https://patentable.app/patents/US-11288568","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11288568","json":"https://patentable.app/api/llm-context/US-11288568","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:58:55.828Z"}