1 citations · 1 across the 3 of their papers we have counts for
4 papers
Offline Policy Evaluation via Mixed Bellman Residuals and Adaptive Critic Representations
Amitakshar Biswas, Yuhan Li, Ruoqing Zhu
Evaluating a target policy using data generated by a different behavior policy remains a fundamental challenge in reinforcement learning. While most existing work relies on the sta…
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li, Eugene Han, Yifan Hu +4
This paper addresses the challenge of offline policy learning in reinforcement learning with continuous action spaces when unmeasured confounders are present. While most existing r…
AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities
Yuhan Li, Hongtao Zhang, Keaven Anderson +2
In the pharmaceutical industry, the use of artificial intelligence (AI) has seen consistent growth over the past decade. This rise is attributed to major advancements in statistica…
Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials
Elias Laurin Meyer, Peter Mesenbrink, Cornelia Dunger-Baldauf +3
Platform trials have become increasingly popular for drug development programs, attracting interest from statisticians, clinicians and regulatory agencies. Many statistical questio…