9 citations · 9 across the 4 of their papers we have counts for
4 papers
Optimal control of the future via prospective learning with control
Yuxin Bai, Aranyak Acharyya, Ashwin De Silva +3
Optimal control of the future is the next frontier for AI. Current approaches to this problem are typically rooted in reinforcement learning (RL). RL is mathematically distinct fro…
Prospective Learning in Retrospect
Yuxin Bai, Cecelia Shuai, Ashwin De Silva +3
In most real-world applications of artificial intelligence, the distributions of the data and the goals of the learners tend to change over time. The Probably Approximately Correct…
tAIfa: Enhancing Team Effectiveness and Cohesion with AI-Generated Automated Feedback
Mohammed Almutairi, Charles Chiang, Yuxin Bai +1
Providing timely and actionable feedback is crucial for effective collaboration, learning, and coordination within teams. However, many teams face challenges in receiving feedback…
Combining biomarker and self-reported dietary intake data: a review of the state of the art and an exposition of concepts
Isobel Claire Gormley, Yuxin Bai, Lorraine Brennan
Classical approaches to assessing dietary intake are associated with measurement error. In an effort to address inherent measurement error in dietary self-reported data there is in…