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Dorsa Sadigh — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Dorsa Sadigh
100
papers ·
772
citations ·
40
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Multi-Agent Generative Adversarial Imitation Learning
2018 · 94 citations
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
2023 · 93 citations
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
2020 · 61 citations
Emergent Prosociality in Multi-Agent Games Through Gifting
2021 · 27 citations
Reward Design with Language Models
2023 · 21 citations
Few-Shot Preference Learning for Human-in-the-Loop RL
2022 · 15 citations
What Matters for Batch Online Reinforcement Learning in Robotics?
2025 · 10 citations
Language Instructed Reinforcement Learning for Human-AI Coordination
2023 · 10 citations
Unsupervised Visuomotor Control through Distributional Planning Networks
2019 · 9 citations
ELLA: Exploration through Learned Language Abstraction
2021 · 8 citations
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
2023 · 7 citations
Active Preference-Based Gaussian Process Regression for Reward Learning
2020 · 6 citations
Inverse Preference Learning: Preference-based RL without a Reward Function
2023 · 6 citations
Distance Weighted Supervised Learning for Offline Interaction Data
2023 · 3 citations
Learning Multimodal Rewards from Rankings
2021 · 2 citations
Top co-authors
Chelsea Finn
· 11
Joey Hejna
· 5
Suvir Mirchandani
· 4
Hengyuan Hu
· 3
Kuo-Han Hung
· 2
Minae Kwon
· 2
Siddharth Karamcheti
· 2
Anca Dragan
· 1
David Krueger
· 1
David Lindner
· 1
Dmitrii Krasheninnikov
· 1
Dylan Hadfield-Menell
· 1
Topics
Model-Based RL
RLHF & Alignment
Multi-Agent
Exploration
Policy Gradient
Game AI
Meta-RL
Offline RL
Value-Based
cs.AI