Experience-Guided Initiation Search for Learned Skills in Skill Composition
EVIS is a framework that uses historical execution data to suggest promising ways to start learned skills in new environments. It prioritizes these suggestions and then uses limited real-world tests to confirm if they actually work. This method helps find reliable skill configurations with fewer expensive interactions, making it efficient for deploying pre-trained skills.