Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge

Janusz, Andrzej; Tajmajer, Tomasz

doi:10.48550/arxiv.1708.00730

Cited by 1 publication

(2 citation statements)

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“…Most of the published academic work on Hearthstone to date focuses on methods for playing the game [30,44,50,53,61]; in addition, there are a few papers about the closely related challenge of playing Magic [57]. Also, the several open-source simulators of Hearthstone mentioned previously are packaged with their own gameplaying agents.…”

Section: Playing To Winmentioning

confidence: 99%

“…This missing information makes it impossible to expand the search tree based on the opponent's move to do a minimax search, unless a good guess of what their hand might be is available. Some of the work has therefore focused on learning predictive models of the opponent's hand [15,30]. Other agents, such as that which is part of MetaStone, simply searches up until the end of the current move and uses a heuristic evaluation function, not even attempting to predict the opponent's move.…”

Section: Playing To Winmentioning

confidence: 99%

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The Many AI Challenges of Hearthstone

Hoover

Togelius

Lee³

et al. 2019

Künstl Intell

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Games have benchmarked AI methods since the inception of the field, with classic board games such as Chess and Go recently leaving room for video games with related yet different sets of challenges. The set of AI problems associated with video games has in recent decades expanded from simply playing games to win, to playing games in particular styles, generating game content, modeling players etc. Different games pose very different challenges for AI systems, and several different AI challenges can typically be posed by the same game. In this article we analyze the popular collectible card game Hearthstone (Blizzard 2014) and describe a varied set of interesting AI challenges posed by this game. Collectible card games are relatively understudied in the AI community, despite their popularity and the interesting challenges they pose. Analyzing a single game in-depth in the manner we do here allows us to see the entire field of AI and Games through the lens of a single game, discovering a few new variations on existing research topics.

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