Keuntaek Lee
5 papers · 2018–2022 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Renaissance Researcher (5)
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Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Robotics
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Applications
(1)
Architectures
(1)
Capabilities
(1)
Domain-Specific
(1)
Keywords
model predictive control
(3)
distributional reinforcement learning
(2)
imitation learning
(1)
policy gradient
(1)
uncertainty quantification
(1)
autonomous driving
(1)
policy learning
(1)
visual navigation
(1)
deep learning
(1)
particle filter
(1)
adaptive control
(1)
continuous action space
(1)
convolutional neural network
(1)
deep neural network
(1)
end-to-end learning
(1)
risk-sensitive control
(1)
control policy
(1)
conditional value at risk
(1)
stochastic search
(1)
perceptual attention
(1)
Papers
Sample-based Distributional Policy Gradient
L4DC 2022
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
L4DC 2021
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control
CoRL 2019
Perceptual Attention-based Predictive Control
CoRL 2019
Agile Autonomous Driving using End-to-End Deep Imitation Learning
RSS 2018