most citedDTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 2 cited

DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime

Zhiyao Luo, Mingcheng Zhu, Fenglin Liu +4

Reinforcement learning (RL) has garnered increasing recognition for its potential to optimise dynamic treatment regimes (DTRs) in personalised medicine, particularly for drug dosag…