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Niao He — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Niao He
28
papers ·
172
citations ·
17
h-index
Google Scholar ↗
Semantic Scholar ↗
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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
Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
2025
Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction
2021
Finite-Time Analysis of Natural Actor-Critic for POMDPs
2022
Top co-authors
Ilyas Fatkhullin
· 4
Jiawei Huang
· 4
Pragnya Alatur
· 4
Anas Barakat
· 3
Batuhan Yardim
· 3
Giorgia Ramponi
· 3
Negar Kiyavash
· 3
Saber Salehkaleybar
· 3
Adrian M\"uller
· 2
Andreas Krause
· 2
Bo Dai
· 2
Patrick Thiran
· 2
Topics
Policy Gradient
Model-Based RL
Multi-Agent
Safe RL
Game AI
Value-Based
Exploration
Meta-RL