Frans, Kevin

12 publications

NeurIPS 2025 A Stable Whitening Optimizer for Efficient Neural Network Training Kevin Frans, Sergey Levine, Pieter Abbeel

NeurIPS 2025 Horizon Reduction Makes RL Scalable Seohong Park, Kevin Frans, Deepinder Mann, Benjamin Eysenbach, Aviral Kumar, Sergey Levine

ICML 2025 Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine

ICLR 2025 OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine

ICLR 2025 One Step Diffusion via Shortcut Models Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel

ICLR 2025 Prioritized Generative Replay Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A Efros

NeurIPS 2024 Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar

ICMLW 2024 Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar

ICML 2024 Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine

ICLR 2023 Powderworld: A Platform for Understanding Generalization via Rich Task Distributions Kevin Frans, Phillip Isola

NeurIPS 2022 CLIPDraw: Exploring Text-to-Drawing Synthesis Through Language-Image Encoders Kevin Frans, Lisa Soros, Olaf Witkowski

ICLR 2018 Meta Learning Shared Hierarchies Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman