| 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 | 134 | 2017 |
| Graying the black box: Understanding dqns T Zahavy, N Ben-Zrihem, S Mannor International Conference on Machine Learning, 1899-1908, 2016 | 89 | 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 | 24* | 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 | 17* | 2018 |
| 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 | 17* | 2016 |
| Deep learning reconstruction of ultrashort pulses T Zahavy, A Dikopoltsev, D Moss, GI Haham, O Cohen, S Mannor, ... Optica 5 (5), 666-673, 2018 | 16 | 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 | 13 | 2017 |
| 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 |
| Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies T Zahavy, A Hasidim, H Kaplan, Y Mansour The 14th European Workshop on Reinforcement Learning (EWRL 2018), 2019 | 1* | 2019 |
| Train on Validation: Squeezing the Data Lemon G Tennenholtz, T Zahavy, S Mannor arXiv preprint arXiv:1802.05846, 2018 | 1 | 2018 |
| Average reward reinforcement learning with unknown mixing times T Zahavy, A Cohen, H Kaplan, Y Mansour arXiv preprint arXiv:1905.09704, 2019 | | 2019 |
| Inverse Reinforcement Learning in Contextual MDPs P Korsunsky, S Belo, T Zahavy, C Tessler, S Mannor arXiv preprint arXiv:1905.09710, 2019 | | 2019 |
| 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 | | 2019 |
| Improving techniques for diagnostics of laser pulses by compact representations P Sidorenko, A Dikopoltsev, T Zahavy, O Lahav, S Gazit, Y Shechtman, ... Optics express 27 (6), 8920-8934, 2019 | | 2019 |
| Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching T Zahavy, S Mannor arXiv preprint arXiv:1901.08612, 2019 | | 2019 |
| Reconstruction of Ultrashort Pulses Using Deep Neural Networks A Dikopoltsev, T Zahavy, R Ziv, I Rubinstein, P Sidorenko, S Mannor, ... 2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC), 1-1, 2018 | | 2018 |
| Systems, method, and non-transitory computer-readable storage media for multi-modal product classification A Magnani, TBZ Zahavy, A Krishnan, S Mannor US Patent App. 15/339,711, 2018 | | 2018 |
| The mind of a machine A Rutkin New Scientist 229 (3061), 22, 2016 | | 2016 |
Shie MannorProfessor of Electrical Engineering, TechnionVerified email at technion.ac.il