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1. MLD3/CounterfactualAnnot-SemiOPE MLD3/CounterfactualAnnot-SemiOPE Public

   [NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146

   Jupyter Notebook 1 1

2. MLD3/OfflineRL_FactoredActions MLD3/OfflineRL_FactoredActions Public

   [NeurIPS 2022] Leveraging Factored Action Spaces for Efficient Offline RL in Healthcare.

   Jupyter Notebook 9

3. MLD3/OfflineRL_ModelSelection MLD3/OfflineRL_ModelSelection Public

   [MLHC 2021] Model Selection for Offline RL: Practical Considerations for Healthcare Settings. https://arxiv.org/abs/2107.11003

   Jupyter Notebook 8 5

4. MLD3/RL-Set-Valued-Policy MLD3/RL-Set-Valued-Policy Public

   [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

   Jupyter Notebook 16 3

5. MLD3/FIDDLE MLD3/FIDDLE Public

   FlexIble Data-Driven pipeLinE – a preprocessing pipeline that transforms structured EHR data into feature vectors to be used with ML algorithms. https://doi.org/10.1093/jamia/ocaa139

   Jupyter Notebook 89 19

6. microsoft/rl-offline-simulation microsoft/rl-offline-simulation Public

   Data-driven offline simulation for online reinforcement learning: benchmark and baselines

   Python 27 6