A Probabilistic Programming Idiom for Active Knowledge Search
February 19, 2022 Β· Declared Dead Β· π 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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