Alex Ayoub

According to our database, Alex Ayoub authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits.

Shuai Liu, Alex Ayoub, Flore Sentenac, Xiaoqi Tan, Csaba Szepesvári

CoRR, 2024

Mitigating the Curse of Horizon in Monte-Carlo Returns.

Alex Ayoub, David Szepesvari, Francesco Zanini, Bryan Chan, Dhawal Gupta, Bruno Castro da Silva, Dale Schuurmans

RLJ, 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 Szepesvári

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploration via linearly perturbed loss minimisation.

David Janz, Shuai Liu, Alex Ayoub, Csaba Szepesvári

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning.

Erfan Miahi, Revan MacQueen, Alex Ayoub, Abbas Masoumzadeh, Martha White

Trans. Mach. Learn. Res., 2023

Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off.

Zichen Vincent Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

An Elementary Proof that Q-learning Converges Almost Surely.

Matthew T. Regehr, Alex Ayoub

CoRR, 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

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

2020

Model-Based Reinforcement Learning with Value-Targeted Regression.

Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin Yang

Proceedings of the 37th International Conference on Machine Learning, 2020