Skill-Space Shooting for Autonomous Robot Policy Improvement
From the abstract
Robots deployed in the physical world must be able to improve beyond their initial training as they encounter new situations and failures. For this improvement to scale across tasks, it must make effective use of experience without requiring human demonstration of each correction.
From the abstract. Our summary is in progress.