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Found 2 papers, 1 papers with code
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty
An agent can use domain knowledge provided by human experts to learn efficiently.
Simulation-based Lidar Super-resolution for Ground Vehicles
We propose a methodology for lidar super-resolution with ground vehicles driving on roadways, which relies completely on a driving simulator to enhance, via deep learning, the apparent resolution of a physical lidar.
Robotics Image and Video Processing
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