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Safe Evaluation For Offline Learning: Are We Ready To Deploy?
In our setting, we assume a source of data, which we split into a train-set, to learn an offline policy, and a test-set, to estimate a lower-bound on the offline policy using off-policy evaluation with bootstrapping.
Learning on Graphs for Mineral Asset Valuation Under Supply and Demand Uncertainty
Valuing mineral assets is a challenging task that is highly dependent on the supply (geological) uncertainty surrounding resources and reserves, and the uncertainty of demand (commodity prices).
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view
This paper introduces VolMap, a real-time approach for the semantic segmentation of a 3D LiDAR surrounding view system in autonomous vehicles.
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