Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Anas Barakat — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Anas Barakat
6
papers ·
3
citations ·
5
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
2023 · 2 citations
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
2021 · 1 citations
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
Policy Gradients for Cumulative Prospect Theory in Reinforcement Learning
2024
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
2024
Top co-authors
Ilyas Fatkhullin
· 3
Niao He
· 3
Amrit Singh Bedi
· 1
Anastasia Kireeva
· 1
Jiduan Wu
· 1
Julien Lehmann
· 1
Olivier Lepel
· 1
Pascal Bianchi
· 1
Peihong Yu
· 1
Pratap Tokekar
· 1
Souradip Chakraborty
· 1
Topics
Policy Gradient
Exploration
Value-Based
Multi-Agent
Game AI
Safe RL