{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11461654","patent":{"patent_number":"US-11461654","title":"Multi-agent cooperation decision-making and training method","assignee":null,"inventors":[],"filing_date":"2019-10-17T00:00:00.000Z","publication_date":"2022-10-04T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06N","G06N","G06N","G06N"],"num_claims":9,"abstract":"The present invention provides a multi-agent cooperation decision-making and training method, including the following steps: S1: encoding, by an encoder, local observations obtained by agents by using a multi-layer perceptron or a convolutional neural network as feature vectors in a receptive field; S2: calculating, by a graph convolution layer, relationship strength between the agents by using a relationship unit of a multi-headed attention mechanism, integrating, by a relationship convolution kernel of the relationship unit, the feature vectors in the receptive field into new feature vectors, and iterating the graph convolution layer for multiple times to obtain a relationship description of the multi-headed attention mechanism in a larger receptive field and at a higher order; S3: splicing the feature vectors in the receptive field and the new feature vectors integrated by the graph convolution layer, sending the spliced vectors to a value network, wherein the value network selects and performs an action decision with the highest future feedback expectation; and S4: storing a local observation set and related sets of the agents in a buffer region, collecting samples in the buffer region for training, and optimizing and rewriting a loss function."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Multi-agent cooperation decision-making and training method","description":"The present invention provides a multi-agent cooperation decision-making and training method, including the following steps: S1: encoding, by an encoder, local observations obtained by agents by using","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11461654","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-11461654","citation_suggestion":"Patentable. \"Multi-agent cooperation decision-making and training method\" (US-11461654). https://patentable.app/patents/US-11461654","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11461654","json":"https://patentable.app/api/llm-context/US-11461654","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T04:41:33.125Z"}