Author:
Grüttner Mandy,Sehnke Frank,Schaul Tom,Schmidhuber Jürgen
Publisher
Springer Berlin Heidelberg
Reference19 articles.
1. Bouzy, B., Chaslot, G.: Monte-Carlo Go Reinforcement Learning Experiments. In: IEEE 2006 Symposium on Computational Intelligence in Games, pp. 187–194. IEEE, Los Alamitos (2006)
2. Gelly, S., Silver, D.: Combining online and offline knowledge in UCT. In: ICML, vol. 227 (2007)
3. Grüttner, M.: Evolving Multidimensional Recurrent Neural Networks for the Capture Game in Go (2008)
4. Graves, A.: Supervised Sequence Labelling with Recurrent Neural Networks. PhD thesis, Technische Universität München (2007)
5. Lecture Notes in Computer Science;T. Schaul,2009
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