Omer Gottesman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
5
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces. | Saket Tiwari, Omer Gottesman, George Konidaris |
| 2023 | AISTATS | Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. | Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman |
| 2023 | ICLR | Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. | Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris |
| 2022 | AAAI | Optimistic Initialization for Exploration in Continuous Control. | Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris |
| 2021 | ICML | State Relevance for Off-Policy Evaluation. | Simon P. Shen, Yecheng Jason Ma, Omer Gottesman, Finale Doshi-Velez |
| 2020 | ICML | Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. | Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo A. Celi, Emma Brunskill, Finale Doshi-Velez |
| 2019 | ICML | Combining parametric and nonparametric models for off-policy evaluation. | Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez |
| 2018 | AISTATS | Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. | Omer Gottesman, Weiwei Pan, Finale Doshi-Velez |
| 2018 | AMIA | Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. | Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez |