Publications

One Step Diffusion via Shortcut Models
Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel
ICLR 2025 (Oral)
Paper Website

Prioritized Generative Replay
Ren Wang, Kevin Frans, Sergey Levine, Pieter Abbeel, Alyosha Efros
ICLR 2025 (Oral)
Paper

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

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

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

Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans, Phillip Isola
ICLR 2023 (Top-25%)
Paper Website Github

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

AI Charades: Language Models as Interactive Game Environments
Kevin Frans
IEEE CoG 2021
Paper

Q's for the Open-Ended Evolution Community: Reflections from the 2021 Cross Labs Innovation Science Workshop
Kevin Frans, Lisa Soros, Olaf Witkowski
Conference on Artificial Life, 2021
Paper

Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search
Kevin Frans, Lisa Soros, Olaf Witkowski
Preprint, 2021
Paper

Population-Based Evolution Optimizes a Meta-Learning Objective
Kevin Frans, Olaf Witkowski
Preprint, 2021
Paper

Unsupervised Image to Sequence Translation with Canvas-Drawer Networks
Kevin Frans, Chin-Yi Cheng
Preprint, 2018
Paper

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

Outline Colorization through Tandem Adversarial Networks
Kevin Frans
Preprint, 2017
Paper