I'm a PhD student at the Department of Computer Science at Tel Aviv University, advised by Prof. Yishay Mansour. During my PhD, I have worked as a research intern at Amazon and the Bosch Center for Artificial Intelligence. Prior to that, I obtained my B.Sc. in Mathematics and Economics from the Hebrew University of Jerusalem.
My research interest is in Machine Learning, with a focus on Reinforcement Learning and Online Learning.
Individual Regret in Cooperative Stochastic Multi-Armed Bandits over Communication Graph
Idan Barnea, Tal Lancewicki, Yishay Mansour
EWRL 2024
Towards Natural Language-Driven Industrial Assembly Using Foundation Models
Omkar Joglekar, Shir Kozlovsky, Tal Lancewicki, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro
LLMAgents workshop @ ICLR 2024
Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback
Tal Lancewicki, Yishay Mansour
ICML 2025
[arxiv]
Delay as Payoff in MAB
Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour
AAAI 2025
[arxiv]
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, Nicoló Cesa-Bianchi
JMLR 2025, COLT 2023
[arxiv]
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback
Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov
ICML 2023
[arxiv]
Regret Minimization and Convergence to Equilibria in General-sum Markov Games
Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
ICML 2023
[arxiv]
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
NeurIPS 2022, CFOL workshop @ ICML 2022 (Oral), EWRL 2022
[arxiv]
Cooperative Online Learning in Stochastic and Adversarial MDPs
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
ICML 2022 (Oral), LSA workshop @ AAMAS 2022 (Oral), EWRL 2022
[arxiv]
Learning Adversarial Markov Decision Processes with Delayed Feedback
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
AAAI 2022, Workshop on RL Theory @ ICML 2021
[arxiv]
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
ICML 2021
[arxiv]
Introduction to Machine Learning, Tel Aviv University, Spring 2024 (TA).
Introduction to Machine Learning, Tel Aviv University, Spring 2022 (TA).
Introduction to Machine Learning, Tel Aviv University, Fall 2021 (TA).
Introduction to Machine Learning, Tel Aviv University, Spring 2021 (TA).
Discrete Mathematics, Tel Aviv University, Fall 2019 (TA).