{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11465650","patent":{"patent_number":"US-11465650","title":"Model-free reinforcement learning","assignee":null,"inventors":[],"filing_date":"2020-04-06T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["B60W","G06F","B60W","B60W","B60W","G05D","G05D","G06F","G06N","G06N"],"num_claims":20,"abstract":"A system for generating a model-free reinforcement learning policy may include a processor, a memory, and a simulator. The simulator may be implemented via the processor and the memory. The simulator may generate a simulated traffic scenario including two or more lanes, an ego-vehicle, a dead end position, and one or more traffic participants. The dead end position may be a position by which a lane change for the ego-vehicle may be desired. The simulated traffic scenario may be associated with an occupancy map, a relative velocity map, a relative displacement map, and a relative heading map at each time step within the simulated traffic scenario. The simulator may model the ego-vehicle and one or more of the traffic participants using a kinematic bicycle model. The simulator may build a policy based on the simulated traffic scenario using an actor-critic network. The policy may be implemented on an autonomous vehicle."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Model-free reinforcement learning","description":"A system for generating a model-free reinforcement learning policy may include a processor, a memory, and a simulator. The simulator may be implemented via the processor and the memory. The simulator ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11465650","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-11465650","citation_suggestion":"Patentable. \"Model-free reinforcement learning\" (US-11465650). https://patentable.app/patents/US-11465650","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11465650","json":"https://patentable.app/api/llm-context/US-11465650","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T07:00:10.154Z"}