Danqing Shi

Interactive Reward Tuning: Interactive Visualization for Preference Elicitation

In reinforcement learning, tuning reward weights in the reward function is necessary to align behavior with user preferences. However, current approaches, which use pairwise comparisons for preference elicitation, are inefficient, because they miss much of the human ability to explore and judge grou…