1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment
Kristine Zhang, Yuanheng Wang, Jianzhun Du +4
Many batch RL health applications first discretize time into fixed intervals. However, this discretization both loses resolution and forces a policy computation at each (potentiall…
cs.LG2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
Jianzhun Du, Joseph Futoma, Finale Doshi-Velez
We present two elegant solutions for modeling continuous-time dynamics, in a novel model-based reinforcement learning (RL) framework for semi-Markov decision processes (SMDPs), usi…