1 results about "Re optimization" patented technology

The application discloses an autonomous intelligent agent-oriented candidate action safety release and closed-loop updating method and system and a storage medium, and belongs to the technical field of intelligent control and intelligent agent execution management. The method acquires task context data, current state data and risk constraint data, and constructs a current feature vector. According to the similarity with a historical feature library, a candidate action instruction is generated among historical action direct reuse, local optimization and re-optimization solution. The target state after execution is predicted in a boundary checking sandbox, and the minimum distance of the target state to a safety boundary is calculated. When the minimum distance does not meet the safety margin requirement, a correction action instruction is generated according to the action variable sensitivity and checked again. When the checking again still does not meet the release condition, a conservative action instruction is generated. The actual execution result, the state after execution, the candidate action generation path, the boundary checking result and the final release conclusion are written back to the historical feature library and the historical decision cache, so as to update the credibility score, the reuse priority, the cache level and the path selection threshold parameter, and the updated result is used for subsequent candidate action generation path judgment and action release decision. The scheme is helpful for reducing the dependence on artificial review, improving the automatic release efficiency and closed-loop learning ability.