Tal Lancewicki

According to our database, Tal Lancewicki authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Online Learning in MDPs with Partially Adversarial Transitions and Losses.

Ofir Schlisselberg, Tal Lancewicki, Yishay Mansour

CoRR, February, 2026

2025

Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback.

Ofir Schlisselberg, Tal Lancewicki, Peter Auer, Yishay Mansour

CoRR, May, 2025

Individual Regret in Cooperative Stochastic Multi-Armed Bandits.

Idan Barnea, Tal Lancewicki, Yishay Mansour

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback.

Tal Lancewicki, Yishay Mansour

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Delay as Payoff in MAB.

Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Towards Natural Language-Driven Assembly Using Foundation Models.

Omkar Joglekar, Tal Lancewicki, Shir Kozlovsky, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro

CoRR, 2024

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

Regret Minimization and Convergence to Equilibria in General-sum Markov Games.

Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour

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

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

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

Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions.

Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour

Proceedings of the 38th International Conference on Machine Learning, 2021