{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11480972","patent":{"patent_number":"US-11480972","title":"Hybrid reinforcement learning for autonomous driving","assignee":null,"inventors":[],"filing_date":"2019-11-13T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G05B","B60W","G05D","G05D","G05D","G05D","G05D","G05D","G05D","G06F","G06N","G06N","G06N","G06N","G06N","G06V","G06V","G06V","G06V","G06V","G06V","G06N","G06N"],"num_claims":30,"abstract":"A method includes determining a current state of an environment of an autonomous agent, such as a vehicle. The method also includes determining, via a first neural network, a set of actions based on the current state. The method further includes determining whether further analysis of the set of actions is desired. The method selects an action from the set of actions using a model-based solution based on a reward and a risk of the action when further analysis is desired. The method also includes selecting the action from the set of actions according to a metric when further analysis is not desired. The method controls the autonomous agent to perform the selected action."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Hybrid reinforcement learning for autonomous driving","description":"A method includes determining a current state of an environment of an autonomous agent, such as a vehicle. The method also includes determining, via a first neural network, a set of actions based on t","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11480972","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-11480972","citation_suggestion":"Patentable. \"Hybrid reinforcement learning for autonomous driving\" (US-11480972). https://patentable.app/patents/US-11480972","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11480972","json":"https://patentable.app/api/llm-context/US-11480972","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:05:59.128Z"}