| Adaptive trust region policy optimization: Global convergence and faster rates for regularized mdps L Shani, Y Efroni, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5668-5675, 2020 | 108 | 2020 |
| Action Robust Reinforcement Learning and Applications in Continuous Control C Tessler, Y Efroni, S Mannor arXiv preprint arXiv:1901.09184, 2019 | 87 | 2019 |
| Exploration-exploitation in constrained mdps Y Efroni, S Mannor, M Pirotta arXiv preprint arXiv:2003.02189, 2020 | 69 | 2020 |
| Tight regret bounds for model-based reinforcement learning with greedy policies Y Efroni, N Merlis, M Ghavamzadeh, S Mannor Advances in Neural Information Processing Systems, 12203-12213, 2019 | 54 | 2019 |
| Optimistic policy optimization with bandit feedback Y Efroni, L Shani, A Rosenberg, S Mannor arXiv preprint arXiv:2002.08243, 2020 | 50* | 2020 |
| Universality of local weak interactions and its application for interferometric alignment J Dziewior, L Knips, D Farfurnik, K Senkalla, N Benshalom, J Efroni, ... Proceedings of the National Academy of Sciences 116 (8), 2881-2890, 2019 | 38 | 2019 |
| Beyond the one-step greedy approach in reinforcement learning Y Efroni, G Dalal, B Scherrer, S Mannor International Conference on Machine Learning, 1387-1396, 2018 | 31 | 2018 |
| Mirror descent policy optimization M Tomar, L Shani, Y Efroni, M Ghavamzadeh arXiv preprint arXiv:2005.09814, 2020 | 27 | 2020 |
| Multiple-step greedy policies in approximate and online reinforcement learning Y Efroni, G Dalal, B Scherrer, S Mannor Advances in neural information processing systems 31, 2018 | 23* | 2018 |
| RL for latent MDPs: Regret guarantees and a lower bound J Kwon, Y Efroni, C Caramanis, S Mannor Advances in Neural Information Processing Systems 34, 24523-24534, 2021 | 20 | 2021 |
| How to combine tree-search methods in reinforcement learning Y Efroni, G Dalal, B Scherrer, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3494-3501, 2019 | 20 | 2019 |
| Minimax regret for stochastic shortest path A Cohen, Y Efroni, Y Mansour, A Rosenberg Advances in Neural Information Processing Systems 34, 28350-28361, 2021 | 12 | 2021 |
| Reinforcement learning with trajectory feedback Y Efroni, N Merlis, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7288-7295, 2021 | 12 | 2021 |
| Topological transitions and fractional charges induced by strain and a magnetic field in carbon nanotubes Y Efroni, S Ilani, E Berg Physical Review Letters 119 (14), 147704, 2017 | 12 | 2017 |
| Online planning with lookahead policies Y Efroni, M Ghavamzadeh, S Mannor Advances in Neural Information Processing Systems 33, 14024-14033, 2020 | 11* | 2020 |
| Exploration conscious reinforcement learning revisited L Shani, Y Efroni, S Mannor International conference on machine learning, 5680-5689, 2019 | 11* | 2019 |
| Bandits with partially observable offline data G Tennenholtz, U Shalit, S Mannor, Y Efroni arXiv preprint arXiv: 2006.06731, 2020 | 8* | 2020 |
| Provable reinforcement learning with a short-term memory Y Efroni, C Jin, A Krishnamurthy, S Miryoosefi arXiv preprint arXiv:2202.03983, 2022 | 6 | 2022 |
| Reinforcement learning in reward-mixing mdps J Kwon, Y Efroni, C Caramanis, S Mannor Advances in Neural Information Processing Systems 34, 2253-2264, 2021 | 5 | 2021 |
| Confidence-budget matching for sequential budgeted learning Y Efroni, N Merlis, A Saha, S Mannor International Conference on Machine Learning, 2937-2947, 2021 | 5 | 2021 |
