| Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy R Keramati, C Dann, A Tamkin, E Brunskill The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020), 2020 | 82 | 2020 |
| Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding H Namkoong, R Keramati, S Yadlowsky, E Brunskill Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, 2020 | 64 | 2020 |
| Distributionally-Aware Exploration for CVaR Bandits A Tamkin, R Keramati, C Dann, E Brunskill Neural Information Processing Systems 2019 Workshop on Safety and Robustness …, 2019 | 35 | 2019 |
| Strategic object oriented reinforcement learning R Keramati, J Whang, P Cho, E Brunskill International Conference on Machine Learning (ICML) 2018 Workshop, 2018 | 24* | 2018 |
| Significant contribution of small icebergs to the freshwater budget in Greenland fjords S Rezvanbehbahani, LA Stearns, R Keramati, S Shankar, ... Communications earth & environment 1 (1), 31, 2020 | 21* | 2020 |
| Dynamics of the nanoneedle probe in trolling mode AFM A Abdi, HN Pishkenari, R Keramati, M Minary-Jolandan Nanotechnology 26 (20), 205702, 2015 | 18 | 2015 |
| Learning abstract models for strategic exploration and fast reward transfer EZ Liu, R Keramati, S Seshadri, K Guu, P Pasupat, E Brunskill, P Liang arXiv preprint arXiv:2007.05896, 2020 | 8* | 2020 |
| Molecular dynamics modeling of a nanomaterials-water surface interaction H Nejat Pishkenari, R Keramati, A Abdi, M Minary-Jolandan Journal of Applied Physics 119 (16), 2016 | 5 | 2016 |
| Identification of subgroups with similar benefits in off-policy policy evaluation R Keramati, O Gottesman, LA Celi, F Doshi-Velez, E Brunskill arXiv preprint arXiv:2111.14272, 2021 | 4 | 2021 |
| Value driven representation for human-in-the-loop reinforcement learning R Keramati, E Brunskill Proceedings of the 27th ACM Conference on User Modeling, Adaptation and …, 2019 | 3 | 2019 |
| Model-based offline reinforcement learning with local misspecification K Dong, Y Flet-Berliac, A Nie, E Brunskill Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7423-7431, 2023 | 1 | 2023 |
| Robust Learning and Evaluation in Sequential Decision Making R Keramati Stanford University, 2021 | | 2021 |
| Hierarchy-Driven Exploration for Reinforcement Learning EZ Liu, R Keramati, S Seshadri, K Guu, P Pasupat, E Brunskill, P Liang | | |
