1 citations · 1 across the 4 of their papers we have counts for
4 papers
Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human Specifications
Zhiqin Qian, Ryan Diaz, Sangwon Seo +1
When training artificial intelligence (AI) to perform tasks, humans often care not only about whether a task is completed but also how it is performed. As AI agents tackle increasi…
Socratic: Enhancing Human Teamwork via AI-enabled Coaching
Sangwon Seo, Bing Han, Rayan E. Harari +4
Coaches are vital for effective collaboration, but cost and resource constraints often limit their availability during real-world tasks. This limitation poses serious challenges in…
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
Sangwon Seo, Vaibhav Unhelkar
Successful collaboration requires team members to stay aligned, especially in complex sequential tasks. Team members must dynamically coordinate which subtasks to perform and in wh…
IDIL: Imitation Learning of Intent-Driven Expert Behavior
Sangwon Seo, Vaibhav Unhelkar
When faced with accomplishing a task, human experts exhibit intentional behavior. Their unique intents shape their plans and decisions, resulting in experts demonstrating diverse b…