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Renyuan Xu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Renyuan Xu
11
papers ·
140
citations ·
13
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis
2020 · 14 citations
Entropy Regularization for Mean Field Games with Learning
2020 · 12 citations
Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon
2020 · 11 citations
A General Framework for Learning Mean-Field Games
2020 · 4 citations
Risk-sensitive Markov Decision Process and Learning under General Utility Functions
2023 · 4 citations
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
2021 · 3 citations
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators
2023 · 3 citations
Fast Policy Learning for Linear Quadratic Control with Entropy Regularization
2023 · 2 citations
Recent Advances in Reinforcement Learning in Finance
2021 · 1 citations
Exploratory Optimal Stopping: A Singular Control Formulation
2024
Top co-authors
Xin Guo
· 5
Ben Hambly
· 2
Haotian Gu
· 2
Huining Yang
· 2
Xiaoli Wei
· 2
Anran Hu
· 1
Giorgio Ferrari
· 1
Jodi Dianetti
· 1
Junzi Zhang
· 1
Meisam Razaviyayn
· 1
Thaleia Zariphopoulou
· 1
Xinyu Li
· 1
Topics
Policy Gradient
Value-Based
Model-Based RL
Multi-Agent
Exploration
Game AI