Near Optimal Solving of the (N$$^2$$–1)-puzzle Using Heuristics Based on Artificial Neural Networks

Author:

Cahlik Vojtech,Surynek PavelORCID

Publisher

Springer International Publishing

Reference41 articles.

1. Boyarski, E., Felner, A., Stern, R., Sharon, G., Tolpin, D., Betzalel, O., Shimony, S.: ICBS: improved conflict-based search algorithm for multi-agent pathfinding. In: IJCAI. pp. 740–746 (2015)

2. Cahlík, V., Surynek, P.: On the design of a heuristic based on artificial neural networks for the near optimal solving of the (n$${^2}$$-1)-puzzle. In: Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17–19, 2019. pp. 473–478 (2019)

3. Cahlík, V., Surynek, P.: Application of Artificial Neural Networks in Solving the (N$${^2}$$-1)-Puzzle. Bachelor’s thesis, Faculty of Information Technology, Czech Technical University in Prague (2020)

4. Chollet, F., et al.: Keras. https://keras.io (2015)

5. Culberson, J.C., Schaeffer, J.: Efficiently searching the 15-puzzle. Department of Computer Science, University of Alberta, Tech. rep. (1994)

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