Contact us

How Machine Learning can improve AI in Hearthstone: Heroes of Warcraft

This paper reviews different applications of machine learning techniques in a development of AI player for a collectible card video game Hearthstone: Heroes of Warcraft. Its main objective is to present selected aspects of the game, in which machine learning can help an artificial player to make better decisions and increase its winning chances. Moreover, the paper describes some of experiments conducted by our research team at Silver Bullet Solutions, as a part of the research on GRAIL – a general framework for designing AI players in video games.

Please find below whole article in pdf:

How Machine Learning can improve AI in Hearthstone

Andrzej Janusz
Silver Bullet Labs
andrzej.janusz@silverbullet.pl

 

You might also like

AAIA’17 Data Mining Challenge Concluded

AAIA’17 Data Mining Challenge is the fourth data mining competition organized within the framework of International Symposium Advances in Artificial Intelligence and Applications. This time, the task is to come up with an efficient prediction model which would help AI to play the game of Hearthstone: Heroes of Warcraft. The competition is kindly sponsored by Silver Bullet Solutions and Polish Information Processing Society (PTI).

Read more
Could you train your vacuum cleaner like your dog?

Author: Tomasz Tajmajer

Artificial intelligence methods are often perceived as extremely complicated and understandable only by people that graduated computer science. The idea of an electronic device that, by itself,  learns how to behave still seems to be very futuristic. In fact, we have many “smart” devices around us, but many of them are not smarter than a motion-based light switch…

Read more
How Machine Learning can improve AI in Hearthstone: Heroes of Warcraft

Author: Andrzej Janusz

This paper reviews different applications of machine learning techniques in a development of AI player for a collectible card video game Hearthstone: Heroes of Warcraft.

Read more
Decision making algorithms for board or card games

Author: Piotr Beling

Decision making algorithm is an algorithm which tries to calculate the best move possible to make in a given position in a game. In other words, for given input position, it points the move which is possible the best one.

Read more