Using reinforcement learning to probe the role of feedback in skill acquisition
By: Antonio Terpin, Raffaello D'Andrea
Published: 2025-12-09
View on arXiv →#cs.AI
Abstract
This research utilizes reinforcement learning to investigate the role of feedback in skill acquisition in a physical system. It demonstrates that learning a high-performance skill may require richer information than executing it, and that learning conditions can vary in difficulty depending on the goal.