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 moreHow 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