Anas Barakat
6 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Reinforcement Learning
(5)
Methods
(5)
Optimization & Theory · Machine Learning
(5)
Learning Types
(4)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Optimization
(2)
Deep Learning
(1)
Applications
(1)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
policy gradient
(4)
reinforcement learning
(3)
sample complexity
(3)
stochastic optimization
(2)
function approximation
(2)
temporal difference learning
(2)
linear function approximation
(2)
markov decision process
(1)
nash equilibrium
(1)
fisher information
(1)
variance reduction
(1)
mirror descent
(1)
finite-time analysis
(1)
linear convergence
(1)
convergence rate
(1)
policy mirror descent
(1)
multi-step greedy policy
(1)
adaptive step size
(1)
markov game
(1)
asymptotic convergence
(1)
Papers
Independent Learning in Constrained Markov Potential Games
AISTATS 2024
Policy Mirror Descent with Lookahead
NeurIPS 2024
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space
ICML 2023
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
ICML 2023
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
AISTATS 2022
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization
ACML 2020