Owen Oertell

According to our database, Owen Oertell authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning.

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

CoRR, March, 2026

KARL: Knowledge Agents via Reinforcement Learning.

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

CoRR, March, 2026

LLMs Can Learn to Reason Via Off-Policy RL.

Daniel Ritter, Owen Oertell, Bradley Guo, Jonathan D. Chang, Kianté Brantley, Wen Sun

CoRR, February, 2026

2025

Scaling Offline RL via Efficient and Expressive Shortcut Models.

Nicolas A. Espinosa Dice, Yiyi Zhang, Yiding Chen, Bradley Guo, Owen Oertell, Gokul Swamy, Kianté Brantley, Wen Sun

CoRR, May, 2025

Efficient Controllable Diffusion via Optimal Classifier Guidance.

Owen Oertell, Shikun Sun, Yiding Chen, Jin Peng Zhou, Zhiyong Wang, Wen Sun

CoRR, May, 2025

Convergence of Consistency Model with Multistep Sampling under General Data Assumptions.

Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Dataset Reset Policy Optimization for RLHF.

Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun

CoRR, 2024

RL for Consistency Models: Faster Reward Guided Text-to-Image Generation.

Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun

CoRR, 2024

RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference.

Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun

RLJ, 2024

TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models.

Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

REBEL: Reinforcement Learning via Regressing Relative Rewards.

Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, Drew Bagnell, Jason D. Lee, Wen Sun

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning.

Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024