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State Relevance for Off-Policy Evaluation


Sep 13, 2021
Simon P. Shen, Yecheng Jason Ma, Omer Gottesman, Finale Doshi-Velez

* Proceedings of the 38th International Conference on Machine Learning, PMLR 139:9537-9546, 2021 
* ICML 2021 

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Learning Markov State Abstractions for Deep Reinforcement Learning


Jun 08, 2021
Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris

* Code available at https://github.com/camall3n/markov-state-abstractions 

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Learning to search efficiently for causally near-optimal treatments


Jul 02, 2020
Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson


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Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions


Feb 14, 2020
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez

* Change: Correction of typo in meta-data author names 

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A general method for regularizing tensor decomposition methods via pseudo-data


May 24, 2019
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez


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Combining Parametric and Nonparametric Models for Off-Policy Evaluation


May 16, 2019
Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez


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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning


Jan 15, 2019
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-wei H. Lehman, Andrew Ross, Aldo Faisal, Finale Doshi-Velez

* AMIA 2018 Annual Symposium 

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Representation Balancing MDPs for Off-Policy Policy Evaluation


Oct 31, 2018
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill


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Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters


Jul 10, 2018
Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill

* Accepted to workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action at ICML 2018 

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Evaluating Reinforcement Learning Algorithms in Observational Health Settings


May 31, 2018
Omer Gottesman, Fredrik Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-wei H. Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, Finale Doshi-Velez


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Weighted Tensor Decomposition for Learning Latent Variables with Partial Data


Oct 18, 2017
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez


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