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.

FEEDBACK

Projects

No projects yet