Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies

Publication
arXiv preprint arXiv:2010.04279
Christina Ji
Christina Ji
PhD Student

Christina is interested in characterizing variation in treatment policies, examining the theoretical assumptions behind off-policy evaluation of reinforcement learning for healthcare, and developing algorithms for disease progression modeling.

Michael Oberst
Michael Oberst
PhD Student

Michael’s research interests include developing learning algorithms for dealing with non-stationarity / dataset shift in predictive modelling, as well as robust learning of treatment policies from observational data.

Sanjat Kanjilal
Sanjat Kanjilal
Clinical Fellow

Lecturer, Harvard Pilgrim Health Care Institute

David Sontag
David Sontag
Associate Professor of EECS

My research focuses on advancing machine learning and artificial intelligence, and using these to transform health care.

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