Computer Vision

Imitation Learning

State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning

We study visual domain transfer for end-to-end imitation learning in a realistic and challenging setting where target-domain data are strictly off-policy, expert-free, and scarce. …

y.-liu
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Mentorship

Vision-based Off-road Vehicle Dynamics Modeling

Supervised undergraduate research on vision-based dynamics modeling and path planning for off-road vehicles.

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End-to-End Control

Vision-based End-to-end Control for Racing

Developed a CNN-based end-to-end controller for high-speed autonomous racing using RGB camera input and velocity feedback.

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