Owen Oertell - RankMe

16 papers A* 4Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KARL: Knowledge Agents via Reinforcement Learning. CoRR 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
2026	J	`jnl`	LLMs Can Learn to Reason Via Off-Policy RL. CoRR Daniel Ritter, Owen Oertell, Bradley Guo, Jonathan D. Chang, Kianté Brantley, Wen Sun
2026	J	`jnl`	OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning. CoRR 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
2025	J	`jnl`	Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions. CoRR Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun
2025	A*	`conf`	Convergence of Consistency Model with Multistep Sampling under General Data Assumptions. ICML Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun
2025	J	`jnl`	Efficient Controllable Diffusion via Optimal Classifier Guidance. CoRR Owen Oertell, Shikun Sun, Yiding Chen, Jin Peng Zhou, Zhiyong Wang, Wen Sun
2025	J	`jnl`	Scaling Offline RL via Efficient and Expressive Shortcut Models. CoRR Nicolas A. Espinosa Dice, Yiyi Zhang, Yiding Chen, Bradley Guo, Owen Oertell, Gokul Swamy, Kianté Brantley, Wen Sun
2024	J	`jnl`	Dataset Reset Policy Optimization for RLHF. CoRR Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun
2024	A*	`conf`	More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning. ICML Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun
2024	J	`jnl`	More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning. CoRR Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun
2024	A*	`conf`	REBEL: Reinforcement Learning via Regressing Relative Rewards. NeurIPS Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, Drew Bagnell, Jason D. Lee, Wen Sun
2024	J	`jnl`	REBEL: Reinforcement Learning via Regressing Relative Rewards. CoRR Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
2024	J	`jnl`	RL for Consistency Models: Faster Reward Guided Text-to-Image Generation. CoRR Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun
2024	J	`jnl`	RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference. RLJ Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun
2024	A*	`conf`	TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models. NeurIPS Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang
2024	J	`jnl`	TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models. CoRR Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang