| Online convex optimization in adversarial markov decision processes A Rosenberg, Y Mansour International Conference on Machine Learning, 5478-5486, 2019 | 158 | 2019 |
| Optimistic policy optimization with bandit feedback L Shani, Y Efroni, A Rosenberg, S Mannor International Conference on Machine Learning, 8604-8613, 2020 | 99 | 2020 |
| Online stochastic shortest path with bandit feedback and unknown transition function A Rosenberg, Y Mansour Advances in Neural Information Processing Systems, 2212-2221, 2019 | 78 | 2019 |
| Near-optimal regret bounds for stochastic shortest path A Cohen, H Kaplan, Y Mansour, A Rosenberg International Conference on Machine Learning, 8210-8219, 2020 | 58 | 2020 |
| Stochastic Shortest Path with Adversarially Changing Costs A Rosenberg, Y Mansour Thirtieth International Joint Conference on Artificial Intelligence (IJCAI …, 2021 | 35 | 2021 |
| Minimax regret for stochastic shortest path A Cohen, Y Efroni, Y Mansour, A Rosenberg Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 32 | 2021 |
| Learning adversarial markov decision processes with delayed feedback T Lancewicki, A Rosenberg, Y Mansour Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7281-7289, 2022 | 31 | 2022 |
| Near-optimal regret for adversarial mdp with delayed bandit feedback T Jin, T Lancewicki, H Luo, Y Mansour, A Rosenberg Advances in Neural Information Processing Systems 35, 33469-33481, 2022 | 26 | 2022 |
| Oracle-efficient regret minimization in factored mdps with unknown structure A Rosenberg, Y Mansour Advances in Neural Information Processing Systems 34, 11148-11159, 2021 | 18* | 2021 |
| Policy optimization for stochastic shortest path L Chen, H Luo, A Rosenberg Conference on Learning Theory, 982-1046, 2022 | 14 | 2022 |
| Building math agents with multi-turn iterative preference learning W Xiong, C Shi, J Shen, A Rosenberg, Z Qin, D Calandriello, M Khalman, ... arXiv preprint arXiv:2409.02392, 2024 | 11 | 2024 |
| Multi-turn Reinforcement Learning from Preference Human Feedback L Shani, A Rosenberg, A Cassel, O Lang, D Calandriello, A Zipori, ... arXiv preprint arXiv:2405.14655, 2024 | 7 | 2024 |
| Planning and learning with adaptive lookahead A Rosenberg, A Hallak, S Mannor, G Chechik, G Dalal Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9606-9613, 2023 | 7 | 2023 |
| Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback T Lancewicki, A Rosenberg, D Sotnikov International Conference on Machine Learning, 18482-18534, 2023 | 4 | 2023 |
| Cooperative online learning in stochastic and adversarial MDPs T Lancewicki, A Rosenberg, Y Mansour International Conference on Machine Learning, 11918-11968, 2022 | 4 | 2022 |
| A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs D van der Hoeven, L Zierahn, T Lancewicki, A Rosenberg, ... Conference on Learning Theory, 1285-1321, 2023 | 3 | 2023 |
| Near-optimal regret in linear MDPs with aggregate bandit feedback A Cassel, H Luo, A Rosenberg, D Sotnikov arXiv preprint arXiv:2405.07637, 2024 | 2 | 2024 |
| Online weighted paging with unknown weights O Levy, N Touitou, A Rosenberg arXiv preprint arXiv:2410.21266, 2024 | | 2024 |
| Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes A Cassel, A Rosenberg arXiv preprint arXiv:2407.03065, 2024 | | 2024 |
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il