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Karl Pertsch — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Karl Pertsch
20
papers ·
430
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Accelerating Reinforcement Learning with Learned Skill Priors
2020 · 19 citations
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
2023 · 16 citations
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
2020 · 15 citations
Skill-based Meta-Reinforcement Learning
2022 · 11 citations
Demonstration-Guided Reinforcement Learning with Learned Skills
2021 · 9 citations
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
2023 · 7 citations
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
2023 · 7 citations
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
2023 · 1 citations
$π^*_0.6$: a VLA That Learns From Experience
2025
Affordance-Guided Reinforcement Learning via Visual Prompting
2024
Top co-authors
Joseph J. Lim
· 5
Chelsea Finn
· 4
Jesse Zhang
· 3
Youngwoon Lee
· 3
Karol Hausman
· 2
Sergey Levine
· 2
Shao-Hua Sun
· 2
Sung Ju Hwang
· 2
Taewook Nam
· 2
Adnan Esmail
· 1
Adrian Li-Bell
· 1
Alexander Herzog
· 1
Topics
Model-Based RL
Meta-RL
Offline RL
Exploration
RLHF & Alignment
Safe RL
Value-Based
Policy Gradient