| Off-policy evaluation in partially observable environments G Tennenholtz, U Shalit, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10276 …, 2020 | 87 | 2020 |
| The Natural Language of Actions G Tennenholtz, S Mannor Proceedings of the 36th International Conference on Machine Learning, 2019 | 64 | 2019 |
| Distributional policy optimization: An alternative approach for continuous control C Tessler*, G Tennenholtz*, S Mannor Advances in Neural Information Processing Systems 32, 1352--1362, 2019 | 49 | 2019 |
| Bandits with Partially Observable Confounded Data G Tennenholtz, U Shalit, S Mannor, Y Efroni Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence …, 2021 | 30* | 2021 |
| Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning G Tennenholtz, S Mannor Advances in Neural Information Processing Systems, 2022 | 18* | 2022 |
| On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning G Tennenholtz, A Hallak, G Dalal, S Mannor, G Chechik, U Shalit International Conference on Learning Representations, 2022 | 15 | 2022 |
| Train on validation: squeezing the data lemon G Tennenholtz, T Zahavy, S Mannor arXiv preprint arXiv:1802.05846, 2018 | 14 | 2018 |
| Language is power: Representing states using natural language in reinforcement learning E Schwartz, G Tennenholtz, C Tessler, S Mannor arXiv preprint arXiv:1910.02789, 2019 | 13 | 2019 |
| Natural contrast enhancement for dichromats using similarity maps G Tennenholtz, I Zachevsky 2016 IEEE International Conference on the Science of Electrical Engineering …, 2016 | 11 | 2016 |
| Demystifying Embedding Spaces using Large Language Models G Tennenholtz, Y Chow, CW Hsu, J Jeong, L Shani, A Tulepbergenov, ... The Twelfth International Conference on Learning Representations, 2024 | 10 | 2024 |
| Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning R Zohar, S Mannor, G Tennenholtz Proceedings of the AAAI Conference on Artificial Intelligence 36, 2022 | 9 | 2022 |
| Development of a ToF pixel with VOD shutter mechanism, high IR QE, four storages, and CDS E Tadmor, D Cohen, G Yahav, G Tennenholtz, G Lehana, A Lahav, ... IEEE Transactions on Electron Devices 63 (7), 2892-2899, 2016 | 9 | 2016 |
| Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization C Boutilier, M Mladenov, G Tennenholtz Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22575 …, 2024 | 7* | 2024 |
| Action Redundancy in Reinforcement Learning N Baram*, G Tennenholtz*, S Mannor Proceedings of the 37th Conference on Uncertainty in Artificial …, 2021 | 6 | 2021 |
| Sequential vaccination for containing epidemics G Tennenholtz, C Caramanis, S Mannor medRxiv, 2020.04. 13.20060269, 2020 | 6 | 2020 |
| Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding A Pace, H Yèche, B Schölkopf, G Rätsch, G Tennenholtz The Twelfth International Conference on Learning Representations, 2024 | 5 | 2024 |
| Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning P Khanna, G Tennenholtz, N Merlis, S Mannor, C Tessler The 22nd International Conference on Autonomous Agents and Multiagent …, 2023 | 4* | 2023 |
| Reinforcement Learning with a Terminator G Tennenholtz, N Merlis, L Shani, S Mannor, U Shalit, G Chechik, ... Advances in Neural Information Processing Systems, 2022 | 4 | 2022 |
| Reinforcement Learning with History-Dependent Dynamic Contexts G Tennenholtz, N Merlis, L Shani, M Mladenov, C Boutilier Proceedings of the 40th International Conference on Machine Learning, 2023 | 3 | 2023 |
| Maximum entropy reinforcement learning with mixture policies N Baram, G Tennenholtz, S Mannor arXiv preprint arXiv:2103.10176, 2021 | 3 | 2021 |
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaVerified email at technion.ac.il
