{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11234141","patent":{"patent_number":"US-11234141","title":"Parameter selection for network communication links using reinforcement learning","assignee":null,"inventors":[],"filing_date":"2020-08-20T00:00:00.000Z","publication_date":"2022-01-25T00:00:00.000Z","cpc_codes":["H04W","G06N","G06N","H04L","H04L","H04L","H04W","H04L","H04W","H04W"],"num_claims":20,"abstract":"The disclosure provides a method of operating a communication network. The method includes receiving input data related to a state of the communication network and determining an implementation policy for the communication network based on the input data. The implementation policy is a set of features for forming one or more communication links in the communication network over a time interval. The one or more communication links includes at least one communication link between a terrestrial terminal and a high-altitude platform terminal. Determining the implementation policy is based at least in part on utility values of previous policies. The utility values of previous policies are derived using simulation and/or real-world implementation of the previous policies. The communication network is then operated to implement the implementation policy in the time interval."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Parameter selection for network communication links using reinforcement learning","description":"The disclosure provides a method of operating a communication network. The method includes receiving input data related to a state of the communication network and determining an implementation policy","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11234141","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-11234141","citation_suggestion":"Patentable. \"Parameter selection for network communication links using reinforcement learning\" (US-11234141). https://patentable.app/patents/US-11234141","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11234141","json":"https://patentable.app/api/llm-context/US-11234141","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T12:19:19.322Z"}