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
Niao He — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Niao He
35
papers ·
173
citations ·
17
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
2017 · 120 citations
Learning from Conditional Distributions via Dual Embeddings
2016 · 20 citations
Target-Based Temporal Difference Learning
2019 · 3 citations
Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
2021 · 3 citations
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
2023 · 2 citations
Provably Learning Nash Policies in Constrained Markov Potential Games
2023 · 2 citations
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
2023 · 2 citations
Periodic Q-Learning
2020 · 1 citations
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function
2022 · 1 citations
When is Mean-Field Reinforcement Learning Tractable and Relevant?
2024 · 1 citations
Learning to Steer Markovian Agents under Model Uncertainty
2024 · 1 citations
Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players
2024 · 1 citations
Revisiting DAgger in the Era of LLM-Agents
2026
Global Optimality for Constrained Exploration via Penalty Regularization
2026
Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
2025
Top co-authors
Anas Barakat
· 5
Bo Dai
· 3
Saber Salehkaleybar
· 3
Andreas Krause
· 2
Volkan Cevher
· 2
Bingcong Li
· 1
Changhao Li
· 1
Chao Zhang
· 1
Jianshu Chen
· 1
Jun Song
· 1
Lihong Li
· 1
Lin Xiao
· 1
Topics
Model-Based RL
Policy Gradient
Multi-Agent
Game AI
Safe RL
Exploration
Value-Based
cs.LG
math.OC
RLHF & Alignment