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Explaining Bayesian Networks in Natural Language: State of the Art and Challenges
In order to increase trust in the usage of Bayesian Networks and to cement their role as a model which can aid in critical decision making, the challenge of explainability must be faced.
Graduated Fidelity Lattices for Motion Planning under Uncertainty
We present a novel approach for motion planning in mobile robotics under sensing and motion uncertainty based on state lattices with graduated fidelity.
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