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Found 3 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.
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
We consider an autonomous exploration problem in which a range-sensing mobile robot is tasked with accurately mapping the landmarks in an a priori unknown environment efficiently in real-time; it must choose sensing actions that both curb localization uncertainty and achieve information gain.
Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking
In this paper, we proposed a novel and practical solution for the real-time indoor localization of autonomous driving in parking lots.
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