Anas Barakat
According to our database1,
Anas Barakat
authored at least 14 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning.
CoRR, 2024
Beyond Expected Returns: A Policy Gradient Algorithm for Cumulative Prospect Theoretic Reinforcement Learning.
CoRR, 2024
Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players.
CoRR, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 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
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