Omer Gottesman
Title
Cited by
Cited by
Year
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature medicine 25 (1), 16-18, 2019
1292019
Science with a wide-field UV transient explorer
I Sagiv, A Gal-Yam, EO Ofek, E Waxman, O Aharonson, SR Kulkarni, ...
The Astronomical Journal 147 (4), 79, 2014
652014
Nonmonotonic aging and memory retention in disordered mechanical systems
Y Lahini, O Gottesman, A Amir, SM Rubinstein
Physical review letters 118 (8), 085501, 2017
542017
Evaluating reinforcement learning algorithms in observational health settings
O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ...
arXiv preprint arXiv:1805.12298, 2018
482018
Representation balancing mdps for off-policy policy evaluation
Y Liu, O Gottesman, A Raghu, M Komorowski, A Faisal, F Doshi-Velez, ...
arXiv preprint arXiv:1805.09044, 2018
432018
Improving sepsis treatment strategies by combining deep and kernel-based reinforcement learning
X Peng, Y Ding, D Wihl, O Gottesman, M Komorowski, LH Lehman, ...
AMIA Annual Symposium Proceedings 2018, 887, 2018
312018
Multiple extinction routes in stochastic population models
O Gottesman, B Meerson
Physical Review E 85 (2), 021140, 2012
272012
Behaviour policy estimation in off-policy policy evaluation: Calibration matters
A Raghu, O Gottesman, Y Liu, M Komorowski, A Faisal, F Doshi-Velez, ...
arXiv preprint arXiv:1807.01066, 2018
182018
A state variable for crumpled thin sheets
O Gottesman, J Andrejevic, CH Rycroft, SM Rubinstein
Communications Physics 1 (1), 1-7, 2018
152018
Combining parametric and nonparametric models for off-policy evaluation
O Gottesman, Y Liu, S Sussex, E Brunskill, F Doshi-Velez
arXiv preprint arXiv:1905.05787, 2019
142019
On the incompressibility of cylindrical origami patterns
F Bös, M Wardetzky, E Vouga, O Gottesman
Journal of Mechanical Design 139 (2), 2017
112017
Furrows in the wake of propagating d-cones
O Gottesman, E Efrati, SM Rubinstein
Nature communications 6 (1), 1-7, 2015
92015
Interpretable off-policy evaluation in reinforcement learning by highlighting influential transitions
O Gottesman, J Futoma, Y Liu, S Parbhoo, L Celi, E Brunskill, ...
International Conference on Machine Learning, 3658-3667, 2020
72020
Improving counterfactual reasoning with kernelised dynamic mixing models
S Parbhoo, O Gottesman, AS Ross, M Komorowski, A Faisal, I Bon, ...
PloS one 13 (11), e0205839, 2018
62018
Weighted tensor decomposition for learning latent variables with partial data
O Gottesman, W Pan, F Doshi-Velez
International Conference on Artificial Intelligence and Statistics, 1664-1672, 2018
22018
Learning to search efficiently for causally near-optimal treatments
S Håkansson, V Lindblom, O Gottesman, FD Johansson
arXiv preprint arXiv:2007.00973, 2020
12020
Localized patterns in crushed conical shells
O Gottesman, E Vouga, SM Rubinstein, L Mahadevan
EPL (Europhysics Letters) 124 (1), 14005, 2018
12018
Learning Markov State Abstractions for Deep Reinforcement Learning
C Allen, N Parikh, O Gottesman, G Konidaris
arXiv preprint arXiv:2106.04379, 2021
2021
Off-Policy Evaluation of Reinforcement Learning in Healthcare
O Gottesman
Harvard University, 2020
2020
A general method for regularizing tensor decomposition methods via pseudo-data
O Gottesman, W Pan, F Doshi-Velez
arXiv preprint arXiv:1905.10424, 2019
2019
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