Anas Barakat - RankMe

27 papers A* 3A 2C 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash Equilibria. CoRR Anas Barakat, Ioannis Panageas, Antonios Varvitsiotis
2026	J	`jnl`	Optimistic Online Learning in Symmetric Cone Games. Trans. Mach. Learn. Res. Anas Barakat, Wayne Lin, John Lazarsfeld, Antonios Varvitsiotis
2026	J	`jnl`	Why Pass@k Optimization Can Degrade Pass@1: Prompt Interference in LLM Post-training. CoRR Anas Barakat, Souradip Chakraborty, Khushbu Pahwa, Amrit Singh Bedi
2025	J	`jnl`	Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence. SIAM J. Control. Optim. Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He
2025	J	`jnl`	Multi-Agent Online Control with Adversarial Disturbances. CoRR Anas Barakat, John Lazarsfeld, Georgios Piliouras, Antonios Varvitsiotis
2025	J	`jnl`	Optimistic Online Learning in Symmetric Cone Games. CoRR Anas Barakat, Wayne Lin, John Lazarsfeld, Antonios Varvitsiotis
2024	J	`jnl`	Beyond Expected Returns: A Policy Gradient Algorithm for Cumulative Prospect Theoretic Reinforcement Learning. CoRR Olivier Lepel, Anas Barakat
2024	A	`conf`	Independent Learning in Constrained Markov Potential Games. AISTATS Philip Jordan, Anas Barakat, Niao He
2024	J	`jnl`	Independent Learning in Constrained Markov Potential Games. CoRR Philip Jordan, Anas Barakat, Niao He
2024	—	`conf`	Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players. CDC Pragnya Alatur, Anas Barakat, Niao He
2024	J	`jnl`	Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players. CoRR Pragnya Alatur, Anas Barakat, Niao He
2024	J	`jnl`	On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning. CoRR Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi
2024	A*	`conf`	Policy Mirror Descent with Lookahead. NeurIPS Kimon Protopapas, Anas Barakat
2024	J	`jnl`	Policy Mirror Descent with Lookahead. CoRR Kimon Protopapas, Anas Barakat
2023	—	`conf`	Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity. CDC Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He
2023	J	`jnl`	Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity. CoRR Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He
2023	A*	`conf`	Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space. ICML Anas Barakat, Ilyas Fatkhullin, Niao He
2023	J	`jnl`	Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space. CoRR Anas Barakat, Ilyas Fatkhullin, Niao He
2023	A*	`conf`	Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies. ICML Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He
2023	J	`jnl`	Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies. CoRR Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He
2022	A	`conf`	Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation. AISTATS Anas Barakat, Pascal Bianchi, Julien Lehmann
2021	J	`jnl`	Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation. CoRR Anas Barakat, Pascal Bianchi, Julien Lehmann
2021	—	`—`	Contributions to non-convex stochastic optimization and reinforcement learning. (Contributions à l'optimisation stochastique non convexe et à l'apprentissage par renforcement). Anas Barakat
2021	J	`jnl`	Convergence and Dynamical Behavior of the ADAM Algorithm for Nonconvex Stochastic Optimization. SIAM J. Optim. Anas Barakat, Pascal Bianchi
2020	C	`conf`	Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization. ACML Anas Barakat, Pascal Bianchi
2019	J	`jnl`	Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization. CoRR Anas Barakat, Pascal Bianchi
2018	J	`jnl`	Convergence of the ADAM algorithm from a Dynamical System Viewpoint. CoRR Anas Barakat, Pascal Bianchi