{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11468334","patent":{"patent_number":"US-11468334","title":"Closed loop model-based action learning with model-free inverse reinforcement learning","assignee":null,"inventors":[],"filing_date":"2018-06-19T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"A computer-implemented method is provided for learning an action policy. The method includes obtaining, by a processor, environment dynamics including triplets of a state, an action, and a next state. The state in each of the triplets is an expert state. The method further includes training, by the processor using the environment dynamics as training data, a dynamics model which obtains a pair of the state and the action as an input and outputs, for each next state, state-transition probabilities. The method also includes learning, by the processor, the action policy using trajectories of expert states according to a supervised learning technique by back-propagating error gradients through the trained dynamics model."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Closed loop model-based action learning with model-free inverse reinforcement learning","description":"A computer-implemented method is provided for learning an action policy. The method includes obtaining, by a processor, environment dynamics including triplets of a state, an action, and a next state.","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11468334","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-11468334","citation_suggestion":"Patentable. \"Closed loop model-based action learning with model-free inverse reinforcement learning\" (US-11468334). https://patentable.app/patents/US-11468334","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11468334","json":"https://patentable.app/api/llm-context/US-11468334","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:11:42.584Z"}