Publications

A Prospect-Theoretic Policy Gradient Algorithm for Behavioral Alignment in Reinforcement Learning

Olivier Lepel, Anas Barakat

Arxiv

Towards Scalable General Utility Reinforcement Learning: Occupancy Approximation, Sample Complexity and Global Optimality

Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi

Arxiv

Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players

Pragnya Alatur, Anas Barakat*, Niao He

Proceedings Arxiv

Policy Mirror Descent with Lookahead

Kimon Protopapas, Anas Barakat

Proceedings Arxiv

Independent Learning in Constrained Markov Potential Games

Philip Jordan, Anas Barakat, Niao He

Poster Proceedings Arxiv

Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity

Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He

Proceedings Arxiv

Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space

Anas Barakat, Ilyas Fatkhullin, Niao He

Poster Slides Proceedings Arxiv

Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies

Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He

Poster Proceedings Arxiv

Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation

Anas Barakat, Pascal Bianchi, Julien Lehmann

Poster Proceedings Arxiv

Contributions to non-convex stochastic optimization and reinforcement learning

Anas Barakat

Slides Thesis

Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance

Anas Barakat, Pascal Bianchi, Walid Hachem, Sholom Schechtman

DOI Arxiv Journal

Convergence and Dynamical Behavior of the ADAM Algorithm for Non-Convex Stochastic Optimization

Anas Barakat, Pascal Bianchi

Poster Slides Video DOI Arxiv Journal

Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Non-Convex Optimization

Anas Barakat, Pascal Bianchi

Poster Slides Proceedings Arxiv

Convergence de l'algorithme Adam du point de vue des systèmes dynamiques

Anas Barakat, Pascal Bianchi

PDF Slides