Barakat, Anas

7 publications

NeurIPS 2025 On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi

AISTATS 2024 Independent Learning in Constrained Markov Potential Games Philip Jordan, Anas Barakat, Niao He

NeurIPS 2024 Policy Mirror Descent with Lookahead Kimon Protopapas, Anas Barakat

ICML 2023 Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space Anas Barakat, Ilyas Fatkhullin, Niao He

ICML 2023 Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-Non-Degenerate Policies Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He

AISTATS 2022 Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation Anas Barakat, Pascal Bianchi, Julien Lehmann

ACML 2020 Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization Anas Barakat, Pascal Bianchi