Kevin Frans
9 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Diamond πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Bronze π Conference Pioneer
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The Questioner
π
Renaissance Researcher
(7)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Reinforcement Learning
(6)
Methods
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Types
(4)
Core AI
(3)
Models
(3)
Optimization & Theory
(3)
Computer Science
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Robotics
(1)
Application Areas
(1)
Keywords
reinforcement learning
(3)
variational autoencoder
(2)
offline reinforcement learning
(2)
value function
(2)
diffusion model
(2)
image generation
(2)
hierarchical learning
(1)
imitation learning
(1)
sample efficiency
(1)
behavior cloning
(1)
goal-conditioned reinforcement learning
(1)
generative model
(1)
task generalization
(1)
world model
(1)
task distribution
(1)
replay buffer
(1)
transformer
(1)
zero-shot reinforcement learning
(1)
policy learning
(1)
representation learning
(1)
Papers
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
ICML 2025
OGBench: Benchmarking Offline Goal-Conditioned RL
ICLR 2025
One Step Diffusion via Shortcut Models
ICLR 2025
Prioritized Generative Replay
ICLR 2025
Is Value Learning Really the Main Bottleneck in Offline RL?
NeurIPS 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
ICML 2024
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
ICLR 2023
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders
NeurIPS 2022
META LEARNING SHARED HIERARCHIES
ICLR 2018