16 citations · 30 across the 4 of their papers we have counts for
4 papers
Efficient Time-Series Approximation with Linear Recurrent Neural Networks: Architecture Learning and Predictive Power
Frieder Stolzenburg, Sandra Litz, Olivia Michael +1
Recurrent neural networks are a powerful means to cope with time series. We show how autoregressive linear, i.e., linearly activated recurrent neural networks (LRNNs) can approxima…
RoboCupSimData: A RoboCup soccer research dataset
Olivia Michael, Oliver Obst, Falk Schmidsberger +1
RoboCup is an international scientific robot competition in which teams of multiple robots compete against each other. Its different leagues provide many sources of robotics data,…
Analysing Soccer Games with Clustering and Conceptors
Olivia Michael, Oliver Obst, Falk Schmidsberger +1
We present a new approach for identifying situations and behaviours, which we call "moves", from soccer games in the 2D simulation league. Being able to identify key situations and…
BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning
Olivia Michael, Oliver Obst
RoboCup offers a set of benchmark problems for Artificial Intelligence in form of official world championships since 1997. The most tactical advanced and richest in terms of behavi…