A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges
It addresses the need for HCI researchers to understand and contribute to interactive RL, but it is incremental as a survey and proposal of principles.
This paper surveys interactive reinforcement learning to provide HCI researchers with the technical background needed to design new interaction techniques and applications, and it proposes generic design principles for effective implementation.
Interactive reinforcement learning (RL) has been successfully used in various applications in different fields, which has also motivated HCI researchers to contribute in this area. In this paper, we survey interactive RL to empower human-computer interaction (HCI) researchers with the technical background in RL needed to design new interaction techniques and propose new applications. We elucidate the roles played by HCI researchers in interactive RL, identifying ideas and promising research directions. Furthermore, we propose generic design principles that will provide researchers with a guide to effectively implement interactive RL applications.