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Kevin Frans — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Kevin Frans
12
papers ·
122
citations ·
6
h-index
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Most-cited papers
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
2022 · 2 citations
Is Value Learning Really the Main Bottleneck in Offline RL?
2024 · 1 citations
Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
2026
Horizon Reduction Makes RL Scalable
2025
Diffusion Guidance Is a Controllable Policy Improvement Operator
2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
2024
Prioritized Generative Replay
2024
OGBench: Benchmarking Offline Goal-Conditioned RL
2024
Top co-authors
Sergey Levine
· 7
Seohong Park
· 5
Pieter Abbeel
· 3
Aviral Kumar
· 2
Benjamin Eysenbach
· 2
Alexei A. Efros
· 1
Andy Peng
· 1
Charles Xu
· 1
Deepinder Mann
· 1
Max Wilcoxson
· 1
Phillip Isola
· 1
Qiyang Li
· 1
Topics
Offline RL
Model-Based RL
Exploration
Policy Gradient
Meta-RL
Value-Based