Kyle Stachowicz
8 papers · 2023–2025 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(17)
👥
Mega-Team · Squad
Top co-authors
Research topics
Reinforcement Learning
(5)
Artificial Intelligence
(4)
Robotics
(4)
Capabilities
(4)
Core AI
(4)
Methods
(4)
Deep Learning
(2)
Applications · Reinforcement Learning
(2)
Computer Vision
(1)
Machine Learning
(1)
Application Areas
(1)
Applications · Robotics
(1)
Domain-Specific
(1)
Learning Types
(1)
Systems
(1)
Keywords
foundation model
(2)
continual learning
(1)
epistemic uncertainty
(1)
visual observation
(1)
online learning
(1)
robotic navigation
(1)
offline reinforcement learning
(1)
model-based learning
(1)
autonomous driving
(1)
co-training
(1)
collision avoidance
(1)
autoregressive model
(1)
reinforcement learning
(1)
mobile robot
(1)
risk-sensitive control
(1)
radiance field
(1)
discrete cosine transform
(1)
prompt tuning
(1)
vision-language-action model
(1)
deep reinforcement learning
(1)
Papers
π_0.5: a Vision-Language-Action Model with Open-World Generalization
CoRL 2025
FAST: Efficient Action Tokenization for Vision-Language-Action Models
RSS 2025
Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data
CoRL 2024
Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild
CoRL 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
RSS 2024
SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People
CoRL 2024
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
CoRL 2023
ViNT: A Foundation Model for Visual Navigation
CoRL 2023