2 citations · 5 across the 7 of their papers we have counts for
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stat.ME2023
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…
stat.ML2023★ 1 cited
Stage-Aware Learning for Dynamic Treatments
Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu +1
Recent advances in dynamic treatment regimes (DTRs) facilitate the search for optimal treatments, which are tailored to individuals' specific needs and able to maximize their expec…
stat.ML2023★ 2 cited
Quasi-optimal Reinforcement Learning with Continuous Actions
Yuhan Li, Wenzhuo Zhou, Ruoqing Zhu
Many real-world applications of reinforcement learning (RL) require making decisions in continuous action environments. In particular, determining the optimal dose level plays a vi…