Alon Cohen
I am a senior lecturer at the school of Electrical Engineering - Systems at Tel-Aviv University, and a researcher at Google Research Tel-Aviv. I have a PhD in Machine Learning from the faculty of IE&M at the Technion under the supervision of Prof. Tamir Hazan.
My research interest are statistical and online learning as well as decision-making under uncertainty. In particular, I am interested at the intersection between online learning and reinforcement learning.
Publications
Online Markov Decision Processes with Aggregate Bandit Feedback
Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour. 2021.
Unknown mixing times in apprenticeship and reinforcement learning
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour. 2020.
Near-optimal Regret Bounds for Stochastic Shortest Path
Alon Cohen, Haim Kaplan, Yishay Mansour, Aviv Rosenberg. 2020.
Logarithmic regret for learning linear quadratic regulators efficiently
Asaf Cassel, Alon Cohen, Tomer Koren. 2020.
Apprenticeship Learning via Frank-Wolfe
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour. 2020.
Learning to Screen
Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran. 2019.
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret
Alon Cohen, Tomer Koren, Yishay Mansour. 2019
Online Linear Quadratic Control
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar. 2018.
Planning and Learning with Stochastic Action Sets
Craig Boutillier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans. 2018.
Tight Bounds for Bandit Combinatorial Optimization
Alon Cohen, Tamir Hazan and Tomer Koren. 2017.
COLT, arXiv
Online Learning with Feedback Graphs Without the Graphs
Alon Cohen, Tamir Hazan and Tomer Koren. 2016.
Following the Perturbed Leader for Online Structured Learning.
Alon Cohen and Tamir Hazan. 2015.
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