Solving the Rubik's cube with stepwise deep learning

Author:

Johnson Colin G.1ORCID

Affiliation:

1. School of Computer Science University of Nottingham Nottingham UK

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference41 articles.

1. Solving the Rubik’s cube with deep reinforcement learning and search

2. Smoothing representation of fitness landscapes — the genotypephenotype map of evolution

3. Beery S. Van Horn G. &Perona P.(2018 October).Recognition in terra incognita. Paper presented at Proceedings of the European Conference on Computer Vision (pp. 456–473).

4. Bojarski M. Del Testa D. Dworakowski D. Firner B. Flepp B. Goyal P. Jackel L. D. Monfort M. Muller U. Zhang J. Zhang X. Zhao J. &Zieba K. (2016). End to end learning for self‐driving cars.CoRR abs/1604.07316. Retrieved fromhttp://arxiv.org/abs/1604.07316

5. A Survey of Monte Carlo Tree Search Methods

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