  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.
