| Contextual markov decision processes A Hallak, D Di Castro, S Mannor arXiv preprint arXiv:1502.02259, 2015 | 131 | 2015 |
| Consistent on-line off-policy evaluation A Hallak, S Mannor International Conference on Machine Learning, 1372-1383, 2017 | 86 | 2017 |
| Lifetime value marketing using reinforcement learning G Theocharous, A Hallak RLDM 2013, 19, 2013 | 51 | 2013 |
| Generalized emphatic temporal difference learning: Bias-variance analysis A Hallak, A Tamar, R Munos, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 47 | 2016 |
| Off-policy model-based learning under unknown factored dynamics A Hallak, F Schnitzler, T Mann, S Mannor International Conference on Machine Learning, 711-719, 2015 | 31 | 2015 |
| Model selection in markovian processes A Hallak, D Di-Castro, S Mannor Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 23 | 2013 |
| Cumulative success-based recommendations for repeat users E Yom-Tov, A Hallak, N Koenigstein US Patent App. 15/605,525, 2018 | 11 | 2018 |
| On covariate shift of latent confounders in imitation and reinforcement learning G Tennenholtz, A Hallak, G Dalal, S Mannor, G Chechik, U Shalit arXiv preprint arXiv:2110.06539, 2021 | 8 | 2021 |
| Improve agents without retraining: Parallel tree search with off-policy correction G Dalal, A Hallak, S Dalton, S Mannor, G Chechik Advances in Neural Information Processing Systems 34, 5518-5530, 2021 | 5 | 2021 |
| System identification framework G Theocharous, AJ Hallak US Patent 10,558,987, 2020 | 5 | 2020 |
| Automatic representation for lifetime value recommender systems A Hallak, Y Mansour, E Yom-Tov arXiv preprint arXiv:1702.07125, 2017 | 4 | 2017 |
| Emphatic td bellman operator is a contraction A Hallak, A Tamar, S Mannor arXiv preprint arXiv:1508.03411, 2015 | 4 | 2015 |
| Planning and learning with adaptive lookahead A Rosenberg, A Hallak, S Mannor, G Chechik, G Dalal arXiv preprint arXiv:2201.12403, 2022 | 2 | 2022 |
| Testing a marketing strategy offline using an approximate simulator A Hallak, G Theocharous US Patent App. 14/080,038, 2015 | 2 | 2015 |
| Reinforcement Learning with a Terminator G Tennenholtz, N Merlis, L Shani, S Mannor, U Shalit, G Chechik, ... arXiv preprint arXiv:2205.15376, 2022 | 1 | 2022 |
| Off-policy evaluation for MDPs with unknown structure A Hallak, F Schnitzler, T Mann, S Mannor arXiv preprint arXiv:1502.03255, 2015 | 1 | 2015 |
| SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search G Dalal, A Hallak, G Thoppe, S Mannor, G Chechik arXiv preprint arXiv:2301.13236, 2023 | | 2023 |
| Method for fast and better tree search for reinforcement learning S Mannor, AJ Hallak, G Dalal, ST Dalton, I Frosio, G Chechik US Patent App. 17/824,680, 2022 | | 2022 |
| SoftTreeMax: Policy Gradient with Tree Search G Dalal, A Hallak, S Mannor, G Chechik arXiv preprint arXiv:2209.13966, 2022 | | 2022 |
| How to sample if you must: on optimal functional sampling A Hallak, S Mannor arXiv preprint arXiv:1208.2417, 2012 | | 2012 |
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
