2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.HC2024★ 2 cited
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning
Zana Buçinca, Siddharth Swaroop, Amanda E. Paluch +2
Imagine if AI decision-support tools not only complemented our ability to make accurate decisions, but also improved our skills, boosted collaboration, and elevated the joy we deri…
cs.AI2024★ 1 cited
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks
Eura Nofshin, Siddharth Swaroop, Weiwei Pan +2
Many important behavior changes are frictionful; they require individuals to expend effort over a long period with little immediate gratification. Here, an artificial intelligence…
cs.LG2023
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning
L. L. Ankile, B. S. Ham, K. Mao +4
When assisting human users in reinforcement learning (RL), we can represent users as RL agents and study key parameters, called \emph{user traits}, to inform intervention design. W…