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20232025
most citedPruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care

6 citations · 7 across the 4 of their papers we have counts for

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cs.LG2025

Data reuse enables cost-efficient randomized trials of medical AI models

Michael Nercessian, Wenxin Zhang, Alexander Schubert +4

Randomized controlled trials (RCTs) are indispensable for establishing the clinical value of medical artificial-intelligence (AI) tools, yet their high cost and long timelines hind…

cs.LG2023★ 6 cited

Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care

Ali Shirali, Alexander Schubert, Ahmed Alaa

Medical treatments often involve a sequence of decisions, each informed by previous outcomes. This process closely aligns with reinforcement learning (RL), a framework for optimizi…