Aviv Rosenberg

According to our database, Aviv Rosenberg authored at least 17 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback.

Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov

Proceedings of the International Conference on Machine Learning, 2023

A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs.

Dirk van der Hoeven, Lukas Zierahn, Tal Lancewicki, Aviv Rosenberg, Nicolò Cesa-Bianchi

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Planning and Learning with Adaptive Lookahead.

Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Regret minimization in reinforcement learning

Aviv Rosenberg

PhD thesis, 2022

Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback.

Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cooperative Online Learning in Stochastic and Adversarial MDPs.

Tal Lancewicki, Aviv Rosenberg, Yishay Mansour

Proceedings of the International Conference on Machine Learning, 2022

Policy Optimization for Stochastic Shortest Path.

Liyu Chen, Haipeng Luo, Aviv Rosenberg

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Learning Adversarial Markov Decision Processes with Delayed Feedback.

Tal Lancewicki, Aviv Rosenberg, Yishay Mansour

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure.

Aviv Rosenberg, Yishay Mansour

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Minimax Regret for Stochastic Shortest Path.

Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic Shortest Path with Adversarially Changing Costs.

Aviv Rosenberg, Yishay Mansour

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Oracle-Efficient Reinforcement Learning in Factored MDPs with Unknown Structure.

Aviv Rosenberg, Yishay Mansour

CoRR, 2020

Adversarial Stochastic Shortest Path.

Aviv Rosenberg, Yishay Mansour

CoRR, 2020

Optimistic Policy Optimization with Bandit Feedback.

Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor

Proceedings of the 37th International Conference on Machine Learning, 2020

Near-optimal Regret Bounds for Stochastic Shortest Path.

Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function.

Aviv Rosenberg, Yishay Mansour

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Convex Optimization in Adversarial Markov Decision Processes.

Aviv Rosenberg, Yishay Mansour

Proceedings of the 36th International Conference on Machine Learning, 2019