The Many AI Challenges of Hearthstone
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jul 2019.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 3; 2024: 2; 2025: 1; 2026: 2.
12 papers.
- 2023AgentBench: Evaluating LLMs as Agentscited by 1,211
- 2024GPT for Games: A Scoping Review (2020-2023)cited by 10
- 2021Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Rankingcited by 7
- 2023Summarizing Strategy Card Game AI Competitioncited by 7
- 2021Evolving Evaluation Functions for Collectible Card Game AIcited by 6
- 2021Collaborative Agent Gameplay in the Pandemic Board Gamecited 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
- 2021A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problemscited by 1
- 2024A Taxonomy of Collectible Card Games from a Game-Playing AI Perspectivecited by 0
- 2026Failing to Explore: Language Models on Interactive Taskscited by 0
- 2026Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmarkcited by 0
- 2026Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark7 May 2026
- 2026Failing to Explore: Language Models on Interactive Tasks29 Jan 2026
- 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
- 2024GPT for Games: A Scoping Review (2020-2023)27 Apr 2024
- 2023AgentBench: Evaluating LLMs as Agents7 Aug 2023
- 2023Summarizing Strategy Card Game AI Competition19 May 2023
- 2023Introducing Tales of Tribute AI Competition14 May 2023
- 2021A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems9 Jul 2021
- 2021Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking25 May 2021
- 2021Evolving Evaluation Functions for Collectible Card Game AI3 May 2021
- 2021Collaborative Agent Gameplay in the Pandemic Board Game21 Mar 2021