| A deep hierarchical approach to lifelong learning in minecraft C Tessler, S Givony, T Zahavy, DJ Mankowitz, S Mannor Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 175 | 2017 |
| Graying the black box: Understanding dqns T Zahavy, N Ben-Zrihem, S Mannor International Conference on Machine Learning, 1899-1908, 2016 | 126 | 2016 |
| 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 Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 64* | 2018 |
| 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, 2018 | 41* | 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 | 32 | 2018 |
| Shallow updates for deep reinforcement learning N Levine, T Zahavy, DJ Mankowitz, A Tamar, S Mannor Advances in Neural Information Processing Systems, 3135-3145, 2017 | 23 | 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 | 20* | 2016 |
| 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 | 8 | 2014 |
| 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 | 7* | 2016 |
| Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces C Tessler, T Zahavy, D Cohen, DJ Mankowitz, S Mannor arXiv preprint arXiv:1905.09700, 2019 | 3 | 2019 |
| Deep neural linear bandits: Overcoming catastrophic forgetting through likelihood matching T Zahavy, S Mannor arXiv preprint arXiv:1901.08612, 2019 | 3 | 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 | 1 | 2020 |
| Average reward reinforcement learning with unknown mixing times T Zahavy, A Cohen, H Kaplan, Y Mansour The 36th Conference on Uncertainty in Artificial Intelligence, 2019 | 1 | 2019 |
| Train on validation: squeezing the data lemon G Tennenholtz, T Zahavy, S Mannor arXiv preprint arXiv:1802.05846, 2018 | 1 | 2018 |
| Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies T Zahavy, A Hasidim, H Kaplan, Y Mansour Algorithmic Learning Theory (ALT) 2020, 0 | 1* | |
| Deep neural networks in single-shot ptychography O Wengrowicz, O Peleg, T Zahavy, B Loevsky, O Cohen Optics Express 28 (12), 17511-17520, 2020 | | 2020 |
| Learning to Ask Medical Questions using Reinforcement Learning U Shaham, T Zahavy, C Caraballo, S Mahajan, D Massey, H Krumholz arXiv preprint arXiv:2004.00994, 2020 | | 2020 |
| Self-Tuning Deep Reinforcement Learning T Zahavy, Z Xu, V Veeriah, M Hessel, J Oh, H van Hasselt, D Silver, ... arXiv preprint arXiv:2002.12928, 2020 | | 2020 |
| Apprenticeship Learning via Frank-Wolfe T Zahavy, A Cohen, H Kaplan, Y Mansour Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | | 2020 |
| Inverse Reinforcement Learning in Contextual MDPs P Korsunsky, S Belo, T Zahavy, C Tessler, S Mannor arXiv preprint arXiv:1905.09710, 2019 | | 2019 |
Shie MannorProfessor of Electrical Engineering, TechnionVerified email at technion.ac.il
