Understanding human teaching modalities in reinforcement learning environments: A preliminary report

摘要: While traditional agent-based learning techniques have enjoyed considerable success, in recent years there has been a growing interest in improving such learning by leveraging humans as teachers. These human-in-the-loop methods have demonstrated substantial improvements by using human subjects in a variety of interaction modalities. Unfortunately, there are few, if any, guidelines about when one teaching modality is more appropriate than another. In addition to highlighting this important gap in the current literature, this paper presents a pilot study that compares two specific teaching modalities: learning by feedback and learning by demonstration, and proposes a set of hypotheses about their relative performance.