Alon Cohen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Topics

Approximately Optimal

Reinforcement Learning

Markov Decision Processes

Stochastic Shortest Path

Top Venues

Publications

Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
The Real Price of Bandit Information in Multiclass Classification. COLT (2024)
Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
Fast Rates for Bandit PAC Multiclass Classification. CoRR (2024)
Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
The Real Price of Bandit Information in Multiclass Classification. CoRR (2024)
Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. CoRR (2023)
Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. ICML (2023)
Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
Locally Optimal Descent for Dynamic Stepsize Scheduling. CoRR (2023)
Hadar Schreiber Galler, Tom Zahavy, Guillaume Desjardins, Alon Cohen
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT. CoRR (2023)
Alon Cohen, Argyrios Deligkas, Moran Koren
Learning approximately optimal contracts. Theor. Comput. Sci. 980 (2023)
Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour
Rate-Optimal Policy Optimization for Linear Markov Decision Processes. CoRR (2023)
Asaf B. Cassel, Alon Cohen, Tomer Koren
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. COLT (2022)
Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour
Counterfactual Optimism: Rate Optimal Regret for Stochastic Contextual MDPs. CoRR (2022)
Asaf Cassel, Alon Cohen, Tomer Koren
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. CoRR (2022)
Asaf B. Cassel, Alon Cohen, Tomer Koren
Rate-Optimal Online Convex Optimization in Adaptive Linear Control. CoRR (2022)
Alon Cohen, Argyrios Deligkas, Moran Koren
Learning Approximately Optimal Contracts. SAGT (2022)
Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour
Online Markov Decision Processes with Aggregate Bandit Feedback. CoRR (2021)
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Minimax Regret for Stochastic Shortest Path. NeurIPS (2021)
Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
Asynchronous Stochastic Optimization Robust to Arbitrary Delays. NeurIPS (2021)
Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour
Online Markov Decision Processes with Aggregate Bandit Feedback. COLT (2021)
Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
Asynchronous Stochastic Optimization Robust to Arbitrary Delays. CoRR (2021)
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Minimax Regret for Stochastic Shortest Path. CoRR (2021)
Asaf Cassel, Alon Cohen, Tomer Koren
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. ICML (2020)
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
Unknown mixing times in apprenticeship and reinforcement learning. UAI (2020)
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
Apprenticeship Learning via Frank-Wolfe. AAAI (2020)
Asaf Cassel, Alon Cohen, Tomer Koren
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. CoRR (2020)
Alon Cohen, Haim Kaplan, Yishay Mansour, Aviv Rosenberg
Near-optimal Regret Bounds for Stochastic Shortest Path. CoRR (2020)
Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan
Near-optimal Regret Bounds for Stochastic Shortest Path. ICML (2020)
Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran
Learning and Generalization for Matching Problems. CoRR (2019)
Alon Cohen, Tomer Koren, Yishay Mansour
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret. CoRR (2019)
Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran
Learning to Screen. NeurIPS (2019)
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
Apprenticeship Learning via Frank-Wolfe. CoRR (2019)
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
Average reward reinforcement learning with unknown mixing times. CoRR (2019)
Alon Cohen, Tomer Koren, Yishay Mansour
Learning Linear-Quadratic Regulators Efficiently with only √T Regret. ICML (2019)
Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
Planning and Learning with Stochastic Action Sets. CoRR (2018)
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
Online Linear Quadratic Control. CoRR (2018)
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
Online Linear Quadratic Control. ICML (2018)
Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
Planning and Learning with Stochastic Action Sets. IJCAI (2018)
Alon Cohen, Moran Koren, Argyrios Deligkas
Incentivizing the Dynamic Workforce: Learning Contracts in the Gig-Economy. CoRR (2018)
Alon Cohen, Tamir Hazan, Tomer Koren
Tight Bounds for Bandit Combinatorial Optimization. COLT (2017)
Alon Cohen, Tamir Hazan, Tomer Koren
Tight Bounds for Bandit Combinatorial Optimization. CoRR (2017)
Alon Cohen, Shie Mannor
Online Learning with Many Experts. CoRR (2017)
Alon Cohen, Tamir Hazan, Tomer Koren
Online Learning with Feedback Graphs Without the Graphs. CoRR (2016)
Alon Cohen, Tamir Hazan, Tomer Koren
Online Learning with Feedback Graphs Without the Graphs. ICML (2016)
Alon Cohen, Tamir Hazan
Following the Perturbed Leader for Online Structured Learning. ICML (2015)
David Leo Wright Hall, Alon Cohen, David Burkett, Dan Klein
Faster Optimal Planning with Partial-Order Pruning. ICAPS (2013)