Kevin Frans

28 papers A* 8C 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Composer 2 Technical Report.
CoRR
Aaron Chan, Ahmed Shalaby, Alexander Wettig, Aman Sanger, Andrew Zhai, Anurag Ajay, Ashvin Nair, Charlie Snell, Chen Lu, Chen Shen, Emily Jia, Federico Cassano, Hanpeng Liu, Haoyu Chen, Henry Wildermuth, Jacob Jackson, Janet Li, Jediah Katz, Jiajun Yao, Joey Hejna, Josh Warner, Julius Vering, Kevin Frans, Lee Danilek, Less Wright, Lujing Cen, Luke Melas-Kyriazi, Michael Truell, Michiel de Jong, Naman Jain, Nate Schmidt, Nathan Wang, Niklas Muennighoff, Oleg Rybkin, Paul Loh, Phillip Kravtsov, Rishabh Yadav, Sahil Shah, Sam Kottler, Alexander M. Rush, Shengtong Zhang, Shomil Jain, Sriram Sankar, Stefan Heule, Stuart H. Sul, Sualeh Asif, Victor Rong, Wanqi Zhu, William Lin, Yuchen Wu, Yuri Volkov, Yury Zemlyanskiy, Zack Holbrook, Zhiyuan Zhang
2025 J jnl
A Stable Whitening Optimizer for Efficient Neural Network Training.
CoRR
Kevin Frans, Sergey Levine, Pieter Abbeel
2025 J jnl
Diffusion Guidance Is a Controllable Policy Improvement Operator.
CoRR
Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine
2025 J jnl
Horizon Reduction Makes RL Scalable.
CoRR
Seohong Park, Kevin Frans, Deepinder Mann, Benjamin Eysenbach, Aviral Kumar, Sergey Levine
2025 A* conf
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration.
ICML
Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine
2025 A* conf
OGBench: Benchmarking Offline Goal-Conditioned RL.
ICLR
Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine
2025 A* conf
One Step Diffusion via Shortcut Models.
ICLR
Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel
2025 A* conf
Prioritized Generative Replay.
ICLR
Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A. Efros
2025 J jnl
What Really Matters in Matrix-Whitening Optimizers?
CoRR
Kevin Frans, Pieter Abbeel, Sergey Levine
2024 A* conf
Is Value Learning Really the Main Bottleneck in Offline RL?
NeurIPS
Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar
2024 J jnl
Is Value Learning Really the Main Bottleneck in Offline RL?
CoRR
Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar
2024 J jnl
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration.
CoRR
Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine
2024 J jnl
OGBench: Benchmarking Offline Goal-Conditioned RL.
CoRR
Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine
2024 J jnl
One Step Diffusion via Shortcut Models.
CoRR
Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel
2024 J jnl
Prioritized Generative Replay.
CoRR
Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A. Efros
2024 A* conf
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings.
ICML
Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine
2024 J jnl
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings.
CoRR
Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine
2023 A* conf
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions.
ICLR
Kevin Frans, Phillip Isola
2022 A* conf
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders.
NeurIPS
Kevin Frans, Lisa B. Soros, Olaf Witkowski
2022 J jnl
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions.
CoRR
Kevin Frans, Phillip Isola
2021 C conf
AI Charades: Language Models as Interactive Game Environments.
CoG
Kevin Frans
2021 J jnl
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders.
CoRR
Kevin Frans, Lisa B. Soros, Olaf Witkowski
2021 J jnl
Population-Based Evolution Optimizes a Meta-Learning Objective.
CoRR
Kevin Frans, Olaf Witkowski
2021 J jnl
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search.
CoRR
Kevin Frans, Lisa B. Soros, Olaf Witkowski
2018 — conf
Meta Learning Shared Hierarchies.
ICLR (Poster)
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
2018 J jnl
Unsupervised Image to Sequence Translation with Canvas-Drawer Networks.
CoRR
Kevin Frans, Chin-Yi Cheng
2017 J jnl
Meta Learning Shared Hierarchies.
CoRR
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
2017 J jnl
Outline Colorization through Tandem Adversarial Networks.
CoRR
Kevin Frans