Neural Networks Models for Analyzing Magic: the Gathering Cards
@inproceedings{Zilio2018NeuralNM, title={Neural Networks Models for Analyzing Magic: the Gathering Cards}, author={F. Zilio and Marcelo O. R. Prates and L. Lamb}, booktitle={ICONIP}, year={2018} }
Historically, games of all kinds have often been the subject of study in scientific works of Computer Science, including the field of machine learning. By using machine learning techniques and applying them to a game with defined rules or a structured dataset, it’s possible to learn and improve on the already existing techniques and methods to tackle new challenges and solve problems that are out of the ordinary. The already existing work on card games tends to focus on gameplay and card… CONTINUE READING
Figures, Tables, and Topics from this paper
2 Citations
Learning a Resource Scale for Collectible Card Games
- Computer Science
- 2019 IEEE Conference on Games (CoG)
- 2019
- PDF
References
SHOWING 1-10 OF 19 REFERENCES
Best practices for convolutional neural networks applied to visual document analysis
- Computer Science
- Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.
- 2003
- 2,052
- PDF
Improving hearthstone AI by learning high-level rollout policies and bucketing chance node events
- Computer Science
- 2017 IEEE Conference on Computational Intelligence and Games (CIG)
- 2017
- 16
- PDF
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
- Computer Science
- 2014 IEEE Conference on Computer Vision and Pattern Recognition
- 2014
- 2,369
- PDF
Ensemble Determinization in Monte Carlo Tree Search for the Imperfect Information Card Game Magic: The Gathering
- Computer Science
- IEEE Transactions on Computational Intelligence and AI in Games
- 2012
- 56
- Highly Influential
- PDF