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Stefano Ermon — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Stefano Ermon
65
papers ·
2868
citations ·
66
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
MOPO: Model-based Offline Policy Optimization
2020 · 218 citations
Multi-Agent Generative Adversarial Imitation Learning
2018 · 94 citations
Multi-Agent Adversarial Inverse Reinforcement Learning
2019 · 45 citations
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
2019 · 31 citations
Calibrated Model-Based Deep Reinforcement Learning
2019 · 23 citations
Experience Replay with Likelihood-free Importance Weights
2020 · 20 citations
Temporal Predictive Coding For Model-Based Planning In Latent Space
2021 · 5 citations
MADiff: Offline Multi-agent Learning with Diffusion Models
2023 · 5 citations
DiffusionNFT: Online Diffusion Reinforcement with Forward Process
2025
Imitation with Neural Density Models
2020
Exploration via Planning for Information about the Optimal Trajectory
2022
Top co-authors
Jiaming Song
· 5
Lantao Yu
· 3
Chelsea Finn
· 2
Tianhe Yu
· 2
Akshat Jindal
· 1
Ali Malik
· 1
Animesh Garg
· 1
Bingyi Kang
· 1
Danny Nemer
· 1
Dorsa Sadigh
· 1
Garrett Thomas
· 1
Hang Su
· 1
Topics
Model-Based RL
Offline RL
Policy Gradient
Multi-Agent
Value-Based
Exploration
RLHF & Alignment
Game AI
Meta-RL