Towards Optimizing Human-Centric Objectives in AI-Assisted
Decision-Making With Offline Reinforcement Learning
Towards Optimizing Human-Centric Objectives in AI-Assisted
Decision-Making With Offline Reinforcement Learning
As AI assistance is increasingly infused into decision-making processes, we may seek to optimize human-centric objectives beyond decision accuracy, such as skill improvement or task enjoyment of individuals interacting with these systems. With this aspiration in mind, we propose offline reinforcement learning (RL) as a general approach for modeling human-AI …