Temporal Difference Learning of Go Playing Artificial Neural Networks

An existing Java application handling and visualizing Go games between human and computer players (including trained and evolved ANNs) should be improved and extended with Go playing ANNs trained by temporal difference learning. This extension should serve as a basis for comparisons of TD learning with conventional ANN training and evolutionary methods.

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