Online Convex Optimization in Adversarial Markov Decision Processes. - Aviv Rosenberg 002; Yishay Mansour (ICML, 2019)

Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function. - Aviv Rosenberg 002; Yishay Mansour (NeurIPS, 2019)

Near-optimal Regret Bounds for Stochastic Shortest Path. - Aviv Rosenberg 002; Alon Cohen; Yishay Mansour; Haim Kaplan (ICML, 2020)

Optimistic Policy Optimization with Bandit Feedback. - Lior Shani; Yonathan Efroni; Aviv Rosenberg 002; Shie Mannor (ICML, 2020)

Adversarial Stochastic Shortest Path. - Aviv Rosenberg 002; Yishay Mansour (CoRR, 2020)

Oracle-Efficient Reinforcement Learning in Factored MDPs with Unknown Structure. - Aviv Rosenberg 002; Yishay Mansour (CoRR, 2020)

Stochastic Shortest Path with Adversarially Changing Costs. - Aviv Rosenberg 002; Yishay Mansour (IJCAI, 2021)

Minimax Regret for Stochastic Shortest Path. - Alon Cohen; Yonathan Efroni; Yishay Mansour; Aviv Rosenberg 002 (NeurIPS, 2021)

Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure. - Aviv Rosenberg 002; Yishay Mansour (NeurIPS, 2021)

Learning Adversarial Markov Decision Processes with Delayed Feedback. - Tal Lancewicki; Aviv Rosenberg 002; Yishay Mansour (AAAI, 2022)

Policy Optimization for Stochastic Shortest Path. - Liyu Chen; Haipeng Luo; Aviv Rosenberg 002 (COLT, 2022)

Cooperative Online Learning in Stochastic and Adversarial MDPs. - Tal Lancewicki; Aviv Rosenberg 002; Yishay Mansour (ICML, 2022)

Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. - Tiancheng Jin; Tal Lancewicki; Haipeng Luo; Yishay Mansour; Aviv Rosenberg 002 (NeurIPS, 2022)

Regret minimization in reinforcement learning - Aviv Rosenberg 002 (2022)

Planning and Learning with Adaptive Lookahead. - Aviv Rosenberg 002; Assaf Hallak; Shie Mannor; Gal Chechik; Gal Dalal (AAAI, 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 002; Nicolò Cesa-Bianchi (COLT, 2023)

Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback. - Tal Lancewicki; Aviv Rosenberg 002; Dmitry Sotnikov (ICML, 2023)

Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback. - Asaf Cassel; Haipeng Luo; Aviv Rosenberg 002; Dmitry Sotnikov (ICML, 2024)

Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes. - Asaf Cassel; Aviv Rosenberg 002 (NeurIPS, 2024)

Online Weighted Paging with Unknown Weights. - Orin Levy; Noam Touitou; Aviv Rosenberg 002 (NeurIPS, 2024)

Multi-turn Reinforcement Learning with Preference Human Feedback. - Lior Shani; Aviv Rosenberg 002; Asaf Cassel; Oran Lang; Daniele Calandriello; Avital Zipori; Hila Noga; Orgad Keller; Bilal Piot; Idan Szpektor; Avinatan Hassidim; Yossi Matias; et al. (NeurIPS, 2024)

Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback. - Asaf B. Cassel; Haipeng Luo; Aviv Rosenberg 002; Dmitry Sotnikov (CoRR, 2024)

Multi-turn Reinforcement Learning from Preference Human Feedback. - Lior Shani; Aviv Rosenberg 002; Asaf B. Cassel; Oran Lang; Daniele Calandriello; Avital Zipori; Hila Noga; Orgad Keller; Bilal Piot; Idan Szpektor; Avinatan Hassidim; Yossi Matias; et al. (CoRR, 2024)

Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes. - Asaf B. Cassel; Aviv Rosenberg 002 (CoRR, 2024)

Building Math Agents with Multi-Turn Iterative Preference Learning. - Wei Xiong 015; Chengshuai Shi; Jiaming Shen; Aviv Rosenberg 002; Zhen Qin 001; Daniele Calandriello; Misha Khalman; Rishabh Joshi; Bilal Piot; Mohammad Saleh; Chi Jin; Tong Zhang 001; et al. (ICLR, 2025)