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Found 4 papers, 2 papers with code
The Power of Linear Recurrent Neural Networks
Recurrent neural networks are a powerful means to cope with time series.
RoboCupSimData: A RoboCup soccer research dataset
These data are made available as CSV files, as well as in the original soccer simulator formats.
Analysing Soccer Games with Clustering and Conceptors
With the proposed approach, we can segment games into sequences of situations that are learnt in an unsupervised way, and learn conceptors that are useful for the prediction of the near future of the respective situation.
BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning
RoboCup offers a set of benchmark problems for Artificial Intelligence in form of official world championships since 1997.
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