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Owen Oertell
Publication Activity (10 Years)
Years Active: 2024-2024
Publications (10 Years): 4
Top Topics
Partial Observability
Markov Decision Process
Tight Bounds
Reinforcement Learning
Top Venues
CoRR
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Publications
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Jonathan D. Chang
,
Wenhao Zhan
,
Owen Oertell
,
Kianté Brantley
,
Dipendra Misra
,
Jason D. Lee
,
Wen Sun
Dataset Reset Policy Optimization for RLHF.
CoRR
(2024)
Kaiwen Wang
,
Owen Oertell
,
Alekh Agarwal
,
Nathan Kallus
,
Wen Sun
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning.
CoRR
(2024)
Owen Oertell
,
Jonathan D. Chang
,
Yiyi Zhang
,
Kianté Brantley
,
Wen Sun
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation.
CoRR
(2024)
Zhaolin Gao
,
Jonathan D. Chang
,
Wenhao Zhan
,
Owen Oertell
,
Gokul Swamy
,
Kianté Brantley
,
Thorsten Joachims
,
J. Andrew Bagnell
,
Jason D. Lee
,
Wen Sun
REBEL: Reinforcement Learning via Regressing Relative Rewards.
CoRR
(2024)