Check Google Scholar for a full list.
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine
ICML 2024
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
Population-Based Evolution Optimizes a Meta-Learning Objective
Kevin Frans, Olaf Witkowski
Arxiv 2021
Paper
Unsupervised Image to Sequence Translation with Canvas-Drawer Networks
Kevin Frans, Chin-Yi Cheng
Arxiv 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
Arxiv 2017
Paper