{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11994862","patent":{"patent_number":"US-11994862","title":"Method and system for training reinforcement learning agent using adversarial sampling","assignee":null,"inventors":[],"filing_date":"2020-07-03T00:00:00.000Z","publication_date":"2024-05-28T00:00:00.000Z","cpc_codes":["G05D","G05D","G06F","G06F","G06N","G06N","G06N","G06N","G06N"],"num_claims":18,"abstract":"Methods and systems of training RL agent for autonomous operation of a vehicle are described. The RL agent is trained using uniformly sampled training samples and learning a policy. After the RL agent has achieved a predetermined performance goal, data is collected including a sequence of sampled states, and for each sequence of sampled states, agent parameters, and an indication of failure of the RL agent for the sequence. A failure predictor is trained, using samples from the collected data, to predict a probability of failure of the RL agent for a given sequence of states. Sequences of states are collected by simulating interaction of the vehicle with the environment. Based on a probability of failure outputted by the failure predictor, a sequence of states is selected. The RL agent is further trained based on the selected sequence of states."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method and system for training reinforcement learning agent using adversarial sampling","description":"Methods and systems of training RL agent for autonomous operation of a vehicle are described. The RL agent is trained using uniformly sampled training samples and learning a policy. After the RL agent","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11994862","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-11994862","citation_suggestion":"Patentable. \"Method and system for training reinforcement learning agent using adversarial sampling\" (US-11994862). https://patentable.app/patents/US-11994862","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11994862","json":"https://patentable.app/api/llm-context/US-11994862","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:57:33.601Z"}