Anas Barakat

According to our database1, Anas Barakat authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Policy Mirror Descent with Lookahead.
CoRR, 2024

Independent Learning in Constrained Markov Potential Games.
CoRR, 2024

2023
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies.
Proceedings of the International Conference on Machine Learning, 2023

Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space.
Proceedings of the International Conference on Machine Learning, 2023

Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Contributions to non-convex stochastic optimization and reinforcement learning. (Contributions à l'optimisation stochastique non convexe et à l'apprentissage par renforcement).
PhD thesis, 2021

Convergence and Dynamical Behavior of the ADAM Algorithm for Nonconvex Stochastic Optimization.
SIAM J. Optim., 2021

2020
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization.
CoRR, 2019

2018
Convergence of the ADAM algorithm from a Dynamical System Viewpoint.
CoRR, 2018


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