GOjen: tdGo Temporal Difference Learning of Go Playing Artificial Neural Networks

The original project description has been: 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. The ancient eastern board game Go has been proven to be of high complexity. Therefore, conventional computer programs are still far away from world class player level. These properties make the game interesting for applying and testing new approaches, namely temporal difference learning and artificial neural networks (ANNs).