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Stefano Ermon — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Stefano Ermon
11
papers ·
325
citations ·
66
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Model-Free Imitation Learning with Policy Optimization
2016 · 41 citations
Extreme Q-Learning: MaxEnt RL without Entropy
2023 · 5 citations
An Experimental Design Perspective on Model-Based Reinforcement Learning
2021 · 4 citations
Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
2025
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces
2017
Top co-authors
Biswajit Paria
· 1
Chongxuan Li
· 1
Daniel Levy
· 1
Divyansh Garg
· 1
Jayesh K. Gupta
· 1
Jeff Schneider
· 1
Jianwen Xie
· 1
Jiaqi Han
· 1
Jingyang Ou
· 1
Joey Hejna
· 1
Jonathan Ho
· 1
Matthieu Geist
· 1
Topics
Model-Based RL
Policy Gradient
Offline RL
RLHF & Alignment
Exploration
Value-Based