Introducing the Hearthstone-AI Competition
Not on the map. Why?
Abstract (arXiv)
The Hearthstone AI framework and competition motivates the development of artificial intelligence agents that can play collectible card games. A special feature of those games is the high variety of cards, which can be chosen by the players to create their own decks. In contrast to simpler card games, the value of many cards is determined by their possible synergies. The vast amount of possible decks, the randomness of the game, as well as the restricted information during the player's turn offer quite a hard challenge for the development of game-playing agents. This short paper introduces the competition framework and goes into more detail on the problems and challenges that need to be faced during the development process.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 May 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 5; 2024: 3; 2025: 1.
10 papers.
- 2023Games for Artificial Intelligence Research: A Review and Perspectivescited by 14
- 2023Mastering Strategy Card Game (Hearthstone) with Improved Techniquescited by 10
- 2023Summarizing Strategy Card Game AI Competitioncited by 7
- 2023RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Gamescited by 7
- 2024Learning With Generalised Card Representations for "Magic: The Gathering"cited by 3
- 2023Introducing Tales of Tribute AI Competitioncited by 2
- 2025UrzaGPT: LoRA-Tuned Large Language Models for Card Selection in Collectible Card Gamescited by 2
- 2022Developing a Successful Bomberman Agentcited by 1
- 2024Learning to Beat ByteRL: Exploitability of Collectible Card Game Agentscited by 1
- 2024A Taxonomy of Collectible Card Games from a Game-Playing AI Perspectivecited by 0
- 2025UrzaGPT: LoRA-Tuned Large Language Models for Card Selection in Collectible Card Games11 Aug 2025
- 2024A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective8 Oct 2024
- 2024Learning With Generalised Card Representations for "Magic: The Gathering"8 Jul 2024
- 2024Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents25 Apr 2024
- 2023RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games4 Jul 2023
- 2023Summarizing Strategy Card Game AI Competition19 May 2023
- 2023Introducing Tales of Tribute AI Competition14 May 2023
- 2023Games for Artificial Intelligence Research: A Review and Perspectives26 Apr 2023
- 2023Mastering Strategy Card Game (Hearthstone) with Improved Techniques9 Mar 2023
- 2022Developing a Successful Bomberman Agent17 Mar 2022