Owen Oertell

According to our database, Owen Oertell authored at least 6 papers in 2024.

Collaborative distances:

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

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 38: 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 38: 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