Karl Pertsch
29 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(11)
π₯
Mega-Team Β· Legion
π€
Dynamic Duo
(17)
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(140)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(18)
Machine Learning
(16)
Core AI
(15)
Reinforcement Learning
(11)
Applications
(11)
Deep Learning
(7)
Robotics
(7)
Application Areas
(7)
Learning Types Β· Machine Learning
(7)
Capabilities
(6)
Learning Types Β· Deep Learning
(6)
Core Methods
(5)
Learning Paradigms
(4)
Methods
(4)
Computer Vision
(2)
Keywords
imitation learning
(5)
robot manipulation
(5)
reinforcement learning
(5)
vision-language-action model
(4)
representation learning
(4)
long-horizon task
(3)
skill prior
(2)
action space
(2)
multi-task learning
(2)
robotic manipulation
(1)
offline reinforcement learning
(1)
contrastive learning
(1)
model-based planning
(1)
domain generalization
(1)
policy evaluation
(1)
video prediction
(1)
sequence modeling
(1)
hierarchical planning
(1)
scalable learning
(1)
semi-supervised learning
(1)
Papers
Ο_0.5: a Vision-Language-Action Model with Open-World Generalization
CoRL 2025
AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
CoRL 2025
FAST: Efficient Action Tokenization for Vision-Language-Action Models
RSS 2025
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
ICML 2025
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies
CoRL 2025
Training Strategies for Efficient Embodied Reasoning
CoRL 2025
Οβ: A Vision-Language-Action Flow Model for General Robot Control
RSS 2025
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Evaluating Real-World Robot Manipulation Policies in Simulation
CoRL 2024
Octo: An Open-Source Generalist Robot Policy
RSS 2024
OpenVLA: An Open-Source Vision-Language-Action Model
CoRL 2024
ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning
CoRL 2024
Robotic Control via Embodied Chain-of-Thought Reasoning
CoRL 2024
Yell At Your Robot: Improving On-the-Fly from Language Corrections
RSS 2024
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
CoRL 2023
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
RSS 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
CoRL 2023
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
NeurIPS 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CoRL 2023
Cross-Domain Transfer via Semantic Skill Imitation
CoRL 2022
Skill-based Meta-Reinforcement Learning
ICLR 2022
Task-Induced Representation Learning
ICLR 2022
Demonstration-Guided Reinforcement Learning with Learned Skills
CoRL 2021
Accelerating Reinforcement Learning with Learned Skill Priors
CoRL 2020
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
L4DC 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
NeurIPS 2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
CoRL 2020
Learning what you can do before doing anything
ICLR 2019