An extension of the RNN-SAC for meta-learning. I am implementing a 2nd level of RL (again SAC) to choose between previously learned (weight frozen) SAC networks in order to collect experiences whilst ...

This lab investigates the performance of two proximity-based classifiers—K-Nearest Neighbors (KNN) and Radius Neighbors (RNN)—on the Wine Dataset from sklearn. By systematically varying the number of ...

The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In this paper we shall ...