Kevin Frans

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Text To Speech Synthesis

Eligibility Traces

Top Venues

Publications

Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings. CoRR (2024)
Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar
Is Value Learning Really the Main Bottleneck in Offline RL? CoRR (2024)
Kevin Frans, Phillip Isola
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions. ICLR (2023)
Kevin Frans, Phillip Isola
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions. CoRR (2022)
Kevin Frans, Lisa B. Soros, Olaf Witkowski
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders. NeurIPS (2022)
Kevin Frans, Olaf Witkowski
Population-Based Evolution Optimizes a Meta-Learning Objective. CoRR (2021)
Kevin Frans
AI Charades: Language Models as Interactive Game Environments. CoG (2021)
Kevin Frans, Lisa B. Soros, Olaf Witkowski
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders. CoRR (2021)
Kevin Frans, Lisa B. Soros, Olaf Witkowski
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search. CoRR (2021)
Kevin Frans, Chin-Yi Cheng
Unsupervised Image to Sequence Translation with Canvas-Drawer Networks. CoRR (2018)
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
Meta Learning Shared Hierarchies. ICLR (Poster) (2018)
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
Meta Learning Shared Hierarchies. CoRR (2017)
Kevin Frans
Outline Colorization through Tandem Adversarial Networks. CoRR (2017)