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Avi Singh — most-cited papers & profile · Reinforcement Learning
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·
overview
Avi Singh
21
papers ·
439
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
End-to-End Robotic Reinforcement Learning without Reward Engineering
2019 · 208 citations
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
2020 · 38 citations
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
2018 · 34 citations
The Ingredients of Real-World Robotic Reinforcement Learning
2020 · 28 citations
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
2020 · 27 citations
Few-Shot Goal Inference for Visuomotor Learning and Planning
2018 · 16 citations
Divide-and-Conquer Reinforcement Learning
2017 · 13 citations
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
2022 · 7 citations
Training Language Models to Self-Correct via Reinforcement Learning
2024 · 6 citations
Scalable Multi-Task Imitation Learning with Autonomous Improvement
2020
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
2022
Top co-authors
Sergey Levine
· 9
Albert Yu
· 3
Aviral Kumar
· 3
Chelsea Finn
· 3
Dibya Ghosh
· 2
Jonathan Yang
· 2
Kristian Hartikainen
· 2
Larry Yang
· 2
Vikash Kumar
· 2
Abhishek Gupta
· 1
Aleksandra Faust
· 1
Alexander Irpan
· 1
Topics
Exploration
Meta-RL
Offline RL
Model-Based RL
Safe RL
Policy Gradient
Value-Based
cs.RO
RLHF & Alignment