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Owen Oertell
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2020 – today
- 2026
[i11]Daniel Ritter, Owen Oertell, Bradley Guo, Jonathan D. Chang, Kianté Brantley, Wen Sun:
LLMs Can Learn to Reason Via Off-Policy RL. CoRR abs/2602.19362 (2026)
[i10]Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander Trott, Jacob P. Portes, Abhay Gupta, Pallavi Koppol, Ashutosh Baheti, Sean Kulinski, Ivan Zhou, Irene Dea, Krista Opsahl-Ong, Simon Favreau-Lessard, Sean Owen, Jose Javier Gonzalez Ortiz, Arnav Singhvi, Xabi Andrade, Cindy Wang, Kartik Sreenivasan, Sam Havens, Jialu Liu, Peyton DeNiro, Wen Sun, Michael Bendersky, Jonathan Frankle:
KARL: Knowledge Agents via Reinforcement Learning. CoRR abs/2603.05218 (2026)
[i9]Krista Opsahl-Ong, Arnav Singhvi, Jasmine Collins, Ivan Zhou, Cindy Wang, Ashutosh Baheti, Owen Oertell, Jacob Portes, Sam Havens, Erich Elsen, Michael Bendersky, Matei Zaharia, Xing Chen:
OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning. CoRR abs/2603.08655 (2026)- 2025
[c4]Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun:
Convergence of Consistency Model with Multistep Sampling under General Data Assumptions. ICML 2025
[i8]Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun:
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions. CoRR abs/2505.03194 (2025)
[i7]Owen Oertell, Shikun Sun, Yiding Chen, Jin Peng Zhou, Zhiyong Wang, Wen Sun:
Efficient Controllable Diffusion via Optimal Classifier Guidance. CoRR abs/2505.21666 (2025)
[i6]Nicolas A. Espinosa Dice, Yiyi Zhang, Yiding Chen, Bradley Guo, Owen Oertell, Gokul Swamy, Kianté Brantley, Wen Sun:
Scaling Offline RL via Efficient and Expressive Shortcut Models. CoRR abs/2505.22866 (2025)- 2024
[j1]Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun:
RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference. RLJ 4: 1656-1673 (2024)
[c3]Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun:
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning. ICML 2024: 51192-51213
[c2]Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, Drew Bagnell, Jason D. Lee, Wen Sun:
REBEL: Reinforcement Learning via Regressing Relative Rewards. NeurIPS 2024
[c1]Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang:
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models. NeurIPS 2024
[i5]Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun:
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning. CoRR abs/2402.07198 (2024)
[i4]Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun:
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation. CoRR abs/2404.03673 (2024)
[i3]Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun:
Dataset Reset Policy Optimization for RLHF. CoRR abs/2404.08495 (2024)
[i2]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 abs/2404.16767 (2024)
[i1]Kiwoong Yoo, Owen Oertell, Junhyun Lee
, Sanghoon Lee, Jaewoo Kang:
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models. CoRR abs/2410.20660 (2024)
Coauthor Index

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last updated on 2026-05-14 01:10 CEST by the dblp team
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