| A deep hierarchical approach to lifelong learning in minecraft C Tessler, S Givony, T Zahavy, DJ Mankowitz, S Mannor Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2016 | 323 | 2016 |
| Graying the black box: Understanding dqns T Zahavy, N Ben-Zrihem, S Mannor International Conference on Machine Learning (ICML) 2016, 1899-1908, 2016 | 208 | 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 (NeurIPS) 2018, 2018 | 154 | 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 | 94 | 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 | 86* | 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, 2020 | 45* | 2020 |
| Shallow updates for deep reinforcement learning N Levine, T Zahavy, DJ Mankowitz, A Tamar, S Mannor Advances in Neural Information Processing Systems (NeurIPS) 2017, 3135-3145, 2017 | 40 | 2017 |
| Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms T Zahavy, B Kang, A Sivak, J Feng, H Xu, S Mannor International Conference on Learning Representations Workshop (ICLRW'18), 2016 | 25* | 2016 |
| Online Limited Memory Neural-Linear Bandits with Likelihood Matching O Nabati, T Zahavy, S Mannor International Conference on Machine Learning (ICML) 2021, 2021 | 21* | 2021 |
| Action assembly: Sparse imitation learning for text based games with combinatorial action spaces C Tessler, T Zahavy, D Cohen, DJ Mankowitz, S Mannor RLDM 2019: The Multi-disciplinary Conference on Reinforcement Learning and …, 2019 | 16* | 2019 |
| 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 | 15 | 2020 |
| Visualizing Dynamics: from t-SNE to SEMI-MDPs NB Zrihem, T Zahavy, S Mannor ICML Workshop on Human Interpretability in Machine Learning (WHI 2016),, 2016 | 13* | 2016 |
| Unknown mixing times in apprenticeship and reinforcement learning T Zahavy, A Cohen, H Kaplan, Y Mansour Conference on Uncertainty in Artificial Intelligence (UAI), 2020, 2020 | 11* | 2020 |
| Sub-Nyquist sampling of OFDM signals for cognitive radios T Zahavy, O Shayer, D Cohen, A Tolmachev, YC Eldar 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 10 | 2014 |
| 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, 2021 | 9 | 2021 |
| Discovery of Options via Meta-Learned Subgoals V Veeriah, T Zahavy, M Hessel, Z Xu, J Oh, I Kemaev, H van Hasselt, ... Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021 | 8 | 2021 |
| Deep neural networks in single-shot ptychography O Wengrowicz, O Peleg, T Zahavy, B Loevsky, O Cohen Optics Express 28 (12), 17511-17520, 2020 | 8 | 2020 |
| Apprenticeship learning via frank-wolfe T Zahavy, A Cohen, H Kaplan, Y Mansour Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6720-6728, 2020 | 8 | 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 | 7 | 2021 |
| Train on validation: squeezing the data lemon G Tennenholtz, T Zahavy, S Mannor arXiv preprint arXiv:1802.05846, 2018 | 7 | 2018 |
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
