| A deep hierarchical approach to lifelong learning in minecraft C Tessler, S Givony, T Zahavy, D Mankowitz, S Mannor Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 371 | 2017 |
| Graying the black box: Understanding dqns T Zahavy, N Ben-Zrihem, S Mannor International conference on machine learning, 1899-1908, 2016 | 264 | 2016 |
| Learn what not to learn: Action elimination with deep reinforcement learning T Zahavy, M Haroush, N Merlis, DJ Mankowitz, S Mannor Advances in neural information processing systems 31, 2018 | 189 | 2018 |
| Deep learning reconstruction of ultrashort pulses T Zahavy, A Dikopoltsev, D Moss, GI Haham, O Cohen, S Mannor, ... Optica 5 (5), 666-673, 2018 | 119 | 2018 |
| Is a picture worth a thousand words? A deep multi-modal architecture for product classification in e-commerce T Zahavy, A Krishnan, A Magnani, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 85* | 2018 |
| A self-tuning actor-critic algorithm T Zahavy, Z Xu, V Veeriah, M Hessel, J Oh, HP van Hasselt, D Silver, ... Advances in neural information processing systems 33, 20913-20924, 2020 | 54 | 2020 |
| Shallow updates for deep reinforcement learning N Levine, T Zahavy, DJ Mankowitz, A Tamar, S Mannor Advances in Neural Information Processing Systems 30, 2017 | 45 | 2017 |
| Bootstrapped meta-learning S Flennerhag, Y Schroecker, T Zahavy, H van Hasselt, D Silver, S Singh International Conference on Learning Representations (ICLR) 2022, 2021 | 34 | 2021 |
| Ensemble robustness and generalization of stochastic deep learning algorithms T Zahavy, B Kang, A Sivak, J Feng, H Xu, S Mannor arXiv preprint arXiv:1602.02389, 2016 | 31* | 2016 |
| Online limited memory neural-linear bandits with likelihood matching O Nabati, T Zahavy, S Mannor International Conference on Machine Learning, 7905-7915, 2021 | 29* | 2021 |
| Reward is enough for convex MDPs T Zahavy, B O'Donoghue, G Desjardins, S Singh Advances in Neural Information Processing Systems 34, 25746-25759, 2021 | 24 | 2021 |
| Discovery of options via meta-learned subgoals V Veeriah, T Zahavy, M Hessel, Z Xu, J Oh, I Kemaev, HP van Hasselt, ... Advances in Neural Information Processing Systems 34, 29861-29873, 2021 | 20 | 2021 |
| Deep learning reconstruction of ultrashort pulses from 2D spatial intensity patterns recorded by an all-in-line system in a single-shot R Ziv, A Dikopoltsev, T Zahavy, I Rubinstein, P Sidorenko, O Cohen, ... Optics express 28 (5), 7528-7538, 2020 | 18 | 2020 |
| Action assembly: Sparse imitation learning for text based games with combinatorial action spaces C Tessler, T Zahavy, D Cohen, DJ Mankowitz, S Mannor The Multidisciplinary Conference on Reinforcement Learning and Decision …, 2019 | 17 | 2019 |
| Balancing constraints and rewards with meta-gradient d4pg DA Calian, DJ Mankowitz, T Zahavy, Z Xu, J Oh, N Levine, T Mann International Conference on Learning Representations (ICLR) 2021, 2020 | 16 | 2020 |
| Discovering a set of policies for the worst case reward T Zahavy, A Barreto, DJ Mankowitz, S Hou, B O'Donoghue, I Kemaev, ... International Conference on Learning Representations (ICLR) 2021, 2021 | 15 | 2021 |
| Visualizing dynamics: from t-sne to semi-mdps NB Zrihem, T Zahavy, S Mannor Workshop on Human Interpretability in Machine Learning, ICML (WHI 2016), 2016 | 15* | 2016 |
| Deep neural networks in single-shot ptychography O Wengrowicz, O Peleg, T Zahavy, B Loevsky, O Cohen Optics Express 28 (12), 17511-17520, 2020 | 14 | 2020 |
| Discovering diverse nearly optimal policies with successor features T Zahavy, B O'Donoghue, A Barreto, V Mnih, S Flennerhag, S Singh arXiv preprint arXiv:2106.00669, 2021 | 12 | 2021 |
| Online Apprenticeship Learning L Shani, T Zahavy, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence, 2021 | 12 | 2021 |
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
