{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10546066","patent":{"patent_number":"US-10546066","title":"End-to-end learning of dialogue agents for information access","assignee":null,"inventors":[],"filing_date":"2017-01-13T00:00:00.000Z","publication_date":"2020-01-28T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N","G06N","G06N","G06F","G06N"],"num_claims":20,"abstract":"Described herein are systems, methods, and techniques by which a processing unit can build an end-to-end dialogue agent model for end-to-end learning of dialogue agents for information access and apply the end-to-end dialogue agent model with soft attention over knowledge base entries to make the dialogue system differentiable. In various examples the processing unit can apply the end-to-end dialogue agent model to a source of input, fill slots for output from the knowledge base entries, induce a posterior distribution over the entities in a knowledge base or induce a posterior distribution of a target of the requesting user over entities from a knowledge base, develop an end-to-end differentiable model of a dialogue agent, use supervised and/or imitation learning to initialize network parameters, calculate a modified version of an episodic algorithm. e.g., the REINFORCE algorithm, for training an end-to-end differentiable model based on user feedback."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"End-to-end learning of dialogue agents for information access","description":"Described herein are systems, methods, and techniques by which a processing unit can build an end-to-end dialogue agent model for end-to-end learning of dialogue agents for information access and appl","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10546066","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-10546066","citation_suggestion":"Patentable. \"End-to-end learning of dialogue agents for information access\" (US-10546066). https://patentable.app/patents/US-10546066","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10546066","json":"https://patentable.app/api/llm-context/US-10546066","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T04:42:04.426Z"}