Tal Lancewicki

23 papers A* 9Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Online Learning in MDPs with Partially Adversarial Transitions and Losses. CoRR Ofir Schlisselberg, Tal Lancewicki, Yishay Mansour
2025	J	`jnl`	A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs. J. Mach. Learn. Res. Lukas Zierahn, Dirk van der Hoeven, Tal Lancewicki, Aviv Rosenberg, Nicolò Cesa-Bianchi
2025	A*	`conf`	Delay as Payoff in MAB. AAAI Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour
2025	J	`jnl`	Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback. CoRR Ofir Schlisselberg, Tal Lancewicki, Peter Auer, Yishay Mansour
2025	A*	`conf`	Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback. ICML Tal Lancewicki, Yishay Mansour
2025	J	`jnl`	Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback. CoRR Tal Lancewicki, Yishay Mansour
2024	J	`jnl`	Delay as Payoff in MAB. CoRR Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour
2024	J	`jnl`	Individual Regret in Cooperative Stochastic Multi-Armed Bandits. CoRR Idan Barnea, Tal Lancewicki, Yishay Mansour
2024	J	`jnl`	Towards Natural Language-Driven Assembly Using Foundation Models. CoRR Omkar Joglekar, Tal Lancewicki, Shir Kozlovsky, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro
2023	A*	`conf`	A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs. COLT Dirk van der Hoeven, Lukas Zierahn, Tal Lancewicki, Aviv Rosenberg, Nicolò Cesa-Bianchi
2023	J	`jnl`	A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs. CoRR Dirk van der Hoeven, Lukas Zierahn, Tal Lancewicki, Aviv Rosenberg, Nicolò Cesa-Bianchi
2023	A*	`conf`	Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback. ICML Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov
2023	J	`jnl`	Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback. CoRR Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov
2023	A*	`conf`	Regret Minimization and Convergence to Equilibria in General-sum Markov Games. ICML Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
2022	A*	`conf`	Cooperative Online Learning in Stochastic and Adversarial MDPs. ICML Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
2022	J	`jnl`	Cooperative Online Learning in Stochastic and Adversarial MDPs. CoRR Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
2022	A*	`conf`	Learning Adversarial Markov Decision Processes with Delayed Feedback. AAAI Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
2022	A*	`conf`	Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. NeurIPS Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
2022	J	`jnl`	Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. CoRR Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
2022	J	`jnl`	Regret Minimization and Convergence to Equilibria in General-sum Markov Games. CoRR Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. ICML Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. CoRR Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
2020	J	`jnl`	Learning Adversarial Markov Decision Processes with Delayed Feedback. CoRR Tal Lancewicki, Aviv Rosenberg, Yishay Mansour