Ayoub, Alex

8 publications

NeurIPS 2025 Eluder Dimension: Localise It! Alireza Bakhtiari, Alex Ayoub, Samuel McLaughlin Robertson, David Janz, Csaba Szepesvari

NeurIPS 2024 Almost Free: Self-Concordance in Natural Exponential Families and an Application to Bandits Shuai Liu, Alex Ayoub, Flore Sentenac, Xiaoqi Tan, Csaba Szepesvári

AISTATS 2024 Exploration via Linearly Perturbed Loss Minimisation David Janz, Shuai Liu, Alex Ayoub, Csaba Szepesvári

ICML 2024 Switching the Loss Reduces the Cost in Batch Reinforcement Learning Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James Mcinerney, Dawen Liang, Nathan Kallus, Csaba Szepesvari

NeurIPS 2023 Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-Off Zichen Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans

TMLR 2023 Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning Erfan Miahi, Revan MacQueen, Alex Ayoub, Abbas Masoumzadeh, Martha White

ICML 2021 Randomized Exploration in Reinforcement Learning with General Value Function Approximation Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang

ICML 2020 Model-Based Reinforcement Learning with Value-Targeted Regression Alex Ayoub, Zeyu Jia, Csaba Szepesvari, Mengdi Wang, Lin Yang