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Owen Oertell — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Owen Oertell
9
papers ·
4
citations ·
1
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
REBEL: Reinforcement Learning via Regressing Relative Rewards
2024 · 2 citations
Dataset Reset Policy Optimization for RLHF
2024 · 1 citations
KARL: Knowledge Agents via Reinforcement Learning
2026
LLMs Can Learn to Reason Via Off-Policy RL
2026
Scaling Offline RL via Efficient and Expressive Shortcut Models
2025
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
2024
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
2024
Top co-authors
Wen Sun
· 7
Jonathan D. Chang
· 4
Kiant\'e Brantley
· 4
Bradley Guo
· 2
Gokul Swamy
· 2
Jason D. Lee
· 2
Wenhao Zhan
· 2
Yiyi Zhang
· 2
Abhay Gupta
· 1
Alekh Agarwal
· 1
Alexander Trott
· 1
Andrew Drozdov
· 1
Topics
Offline RL
RLHF & Alignment
Policy Gradient
Model-Based RL
Multi-Agent
Value-Based
Exploration