{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11467591","patent":{"patent_number":"US-11467591","title":"Online agent using reinforcement learning to plan an open space trajectory for autonomous vehicles","assignee":null,"inventors":[],"filing_date":"2019-05-15T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["G05D","G06N","B60W","G05D","G06N","G06N","G06N"],"num_claims":15,"abstract":"In one embodiment, a system uses an actor-critic reinforcement learning model to generate a trajectory for an autonomous driving vehicle (ADV) in an open space. The system perceives an environment surrounding an ADV. The system applies a RL algorithm to an initial state of a planning trajectory based on the perceived environment to determine a plurality of controls for the ADV to advance to a plurality of trajectory states based on map and vehicle control information for the ADV. The system determines a reward prediction by the RL algorithm for each of the plurality of controls in view of a target destination state. The system generates a first trajectory from the trajectory states by maximizing the reward predictions to control the ADV autonomously according to the first trajectory."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Online agent using reinforcement learning to plan an open space trajectory for autonomous vehicles","description":"In one embodiment, a system uses an actor-critic reinforcement learning model to generate a trajectory for an autonomous driving vehicle (ADV) in an open space. The system perceives an environment sur","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11467591","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-11467591","citation_suggestion":"Patentable. \"Online agent using reinforcement learning to plan an open space trajectory for autonomous vehicles\" (US-11467591). https://patentable.app/patents/US-11467591","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11467591","json":"https://patentable.app/api/llm-context/US-11467591","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T13:24:12.463Z"}