Hearthstone AI Competition
We are happy to announce that the Hearthstone AI competition will be part of the 2020 IEEE Conference on Games. Additionally, IEEE CIS is funding a first prize of 500$ for the best entry of each track.
Please download the latest version of the competition framework. Minor changes will be added until 17 April. Any further updates may include bugfixes.
The collectible online card game Hearthstone features a rich testbed and poses unique demands for generating artificial intelligence agents. The game is a turn-based card game between two opponents, using constructed decks of thirty cards along with a selected hero with a unique power. Players use their limited mana crystals to cast spells or summon minions to attack their opponent, with the goal to reduce the opponent’s health to zero. The competition aims to promote the stepwise development of fully autonomous AI agents in the context of Hearthstone.
Entrants will submit agents to participate in one of the two tracks:
- Premade Deck Playing”-track: participants will receive a list of six known decks and three decks unknown prior to your submission. During the evaluation we will simulate all possible matchups for at least 100 games to determine the average win-rate for each agent. Determining and using the characteristics of the player’s and the opponent’s deck to the player’s advantage will help in winning the game. The decks for the premade deck playing track will be published at the 17 April.
- “User Created Deck Playing”-track: the competition framework allows agents to define their own deck. Finding a deck that can consistently beat a vast amount of other decks will play a key role in this competition track. Additionally, it gives the participants the chance in optimizing the agents’ strategy to the characteristics of their chosen deck
Competition Entry Deadline: July 1st 2019 23:59 UTC-12
In case you submit a paper based on this framework we would be happy if you could include the following citation:
Dockhorn, A., & Mostaghim, S. (2019). Introducing the Hearthstone-AI Competition, (Section IV), 1–4. Retrieved from http://arxiv.org/abs/1906.04238
The Hearthstone-AI Competition is being organized by:
- Alexander Dockhorn, Queen Mary University of London
- Sanaz Mostaghim, Otto-von-Guericke University of Magdeburg
This competition is not associated with Blizzard Entertainment. It is based on the Sabberstone framework which mimics the game Hearthstone and provides access points for the development of AI agents. The framework does not allow to play the original game nor does it connect to the game’s servers in any way.
Hearthstone and Blizzard Entertainment are trademarks or registered trademarks of Blizzard Entertainment, Inc. in the U.S. and/or other countries.
We would like to thank the developers of the Sabberstone Framework on which our competition is based on. Special thanks go out to darkfriend77 and Milva for their constant effort in keeping the Sabberstone framework up-to-date. Without your work, this competition would not exist!