Kevin Frans

According to our database, Kevin Frans authored at least 17 papers between 2017 and 2025.

Collaborative distances:

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

2025

A Stable Whitening Optimizer for Efficient Neural Network Training.

Kevin Frans, Sergey Levine, Pieter Abbeel

CoRR, June, 2025

Horizon Reduction Makes RL Scalable.

Seohong Park, Kevin Frans, Deepinder Mann, Benjamin Eysenbach, Aviral Kumar, Sergey Levine

CoRR, June, 2025

Diffusion Guidance Is a Controllable Policy Improvement Operator.

Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine

CoRR, May, 2025

Prioritized Generative Replay.

Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A. Efros

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OGBench: Benchmarking Offline Goal-Conditioned RL.

Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

One Step Diffusion via Shortcut Models.

Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration.

Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine

CoRR, 2024

Is Value Learning Really the Main Bottleneck in Offline RL?

Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings.

Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Powderworld: A Platform for Understanding Generalization via Rich Task Distributions.

Kevin Frans, Phillip Isola

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders.

Kevin Frans, Lisa B. Soros, Olaf Witkowski

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search.

Kevin Frans, Lisa B. Soros, Olaf Witkowski

CoRR, 2021

Population-Based Evolution Optimizes a Meta-Learning Objective.

Kevin Frans, Olaf Witkowski

CoRR, 2021

AI Charades: Language Models as Interactive Game Environments.

Kevin Frans

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2018

Unsupervised Image to Sequence Translation with Canvas-Drawer Networks.

Kevin Frans, Chin-Yi Cheng

CoRR, 2018

Meta Learning Shared Hierarchies.

Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Outline Colorization through Tandem Adversarial Networks.

Kevin Frans

CoRR, 2017