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Furong Huang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Furong Huang
30
papers ·
141
citations ·
0
h-index
University of Maryland, College Park
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
2022 · 8 citations
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
2023 · 3 citations
Transfer RL across Observation Feature Spaces via Model-Based Regularization
2022 · 2 citations
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
2022 · 2 citations
MaxMin-RLHF: Alignment with Diverse Human Preferences
2024 · 2 citations
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
2024 · 2 citations
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning
2023 · 1 citations
ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs
2025
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
2025
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
2022
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
2023
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
2023
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning
2023
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
2024
Top co-authors
Xiyao Wang
· 6
Ruijie Zheng
· 5
Yanchao Sun
· 4
Alec Koppel
· 3
Amrit Singh Bedi
· 3
Dinesh Manocha
· 3
Huazhe Xu
· 3
Pratap Tokekar
· 3
Souradip Chakraborty
· 3
Yongyuan Liang
· 3
Joshua McClellan
· 2
Wichayaporn Wongkamjan
· 2
Topics
Model-Based RL
Value-Based
Meta-RL
Safe RL
Exploration
Multi-Agent
RLHF & Alignment
Policy Gradient