2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang.
NeurIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards
Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun.
NeurIPS 2024
RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference
Owen Oertell, Jonathan Daniel Chang, Yiyi Zhang, Kianté Brantley, and Wen Sun.
RLC 2024
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, and Wen Sun.
ICML 2024
Dataset Reset Policy Optimization for RLHF
Jonathan Daniel Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, and Wen Sun
Preprint
2023
A Kernel Method Approach to Orbital Debris Blast Point Determination
Jackson Kulik, Owen Oertell, and Dmitry Savransky.
AIAA 2024.
Overdetermined Eigenvector Approach to Passive Angles-Only Relative Orbit Determination
Jackson Kulik, Owen Oertell, and Dmitry Savransky.
Journal of Guidance, Control, and Dynamics 2023.