{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11461145","patent":{"patent_number":"US-11461145","title":"Building neural networks for resource allocation for iterative workloads using reinforcement learning","assignee":null,"inventors":[],"filing_date":"2019-01-28T00:00:00.000Z","publication_date":"2022-10-04T00:00:00.000Z","cpc_codes":["G06F","G06N","G06F","G06N","G06N","G06Q"],"num_claims":20,"abstract":"Reinforcement learning agents for resource allocation for iterative workloads, such as training Deep Neural Networks, are configured. One method comprises obtaining a specification of an iterative workload comprising multiple states and a set of available actions for each state, and a domain model of the iterative workload relating allocated resources with service metrics; adjusting weights of a reinforcement learning agent by performing iteration steps for each simulated iteration of the iterative workload and using variables from the simulated iteration to refine the reinforcement learning agent; and determining a dynamic resource allocation policy for the iterative workload. The exemplary iteration steps comprise: (a) selecting an action for a current state, obtaining a reward for the selected action and selecting a next state based on the current state and/or the selected action; (b) updating a function that evaluates a quality of a plurality of state-action combinations; and (c) repeating steps (a) and (b) with a new allocation of resources."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Building neural networks for resource allocation for iterative workloads using reinforcement learning","description":"Reinforcement learning agents for resource allocation for iterative workloads, such as training Deep Neural Networks, are configured. One method comprises obtaining a specification of an iterative wor","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11461145","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-11461145","citation_suggestion":"Patentable. \"Building neural networks for resource allocation for iterative workloads using reinforcement learning\" (US-11461145). https://patentable.app/patents/US-11461145","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11461145","json":"https://patentable.app/api/llm-context/US-11461145","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:16:08.987Z"}