A Probabilistic Programming Idiom for Active Knowledge Search

February 19, 2022 Β· Declared Dead Β· πŸ› IEEE International Joint Conference on Neural Network

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Authors Malte R. Damgaard, Rasmus Pedersen, Thomas Bak arXiv ID 2202.09555 Category cs.RO: Robotics Cross-listed cs.AI Citations 1 Venue IEEE International Joint Conference on Neural Network Last Checked 5 months ago
Abstract
In this paper, we derive and implement a probabilistic programming idiom for the problem of acquiring new knowledge about an environment. The idiom is implemented utilizing a modern probabilistic programming language. We demonstrate the utility of this idiom by implementing an algorithm for the specific problem of active mapping and robot exploration. Finally, we evaluate the functionality of the implementation through an extensive simulation study utilizing the HouseExpo dataset.
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