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Ilyas Fatkhullin — most-cited papers & profile · Reinforcement Learning
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Ilyas Fatkhullin
5
papers ·
2
citations ·
4
h-index
ETH Zurich
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
2023 · 2 citations
Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
2025
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space
2023
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence
2023
Top co-authors
Niao He
· 4
Anas Barakat
· 3
Anastasia Kireeva
· 1
Florian Wolf
· 1
Guanghui Lan
· 1
Jiduan Wu
· 1
Topics
Policy Gradient
Safe RL
Exploration
Multi-Agent
Game AI