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[ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/2007.12678, https://icml.cc/virtual/2020/poster/5797

Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies

Source code submission for ICML 2020

Notes

  • The implementation of the main algorithms can be found under synthetic/lib
  • Run notebooks in synthetic to recreate all synthetic experiments (Figures 1-5)
  • Follow instructions in mimic-sepsis to recreate the real data experiment (Figure 6-7)