Mad Science is Provably Hard: Puzzles in Hearthstone's Boomsday Lab are NP-hard
Michael Hoffmann, Jayson Lynch, Andrew Winslow

TL;DR
This paper proves that determining a winning move in Hearthstone puzzles from the Boomsday Lab expansion is NP-hard, even when generalized to larger game sizes, highlighting the computational difficulty of these puzzles.
Contribution
It establishes the NP-hardness of various Hearthstone puzzles and their generalizations, providing the first complexity results for these game scenarios.
Findings
Winning puzzles are NP-hard in the original and generalized settings
Complexity holds across multiple puzzle types and game scale generalizations
Highlights computational difficulty of Hearthstone's puzzle solving
Abstract
We consider the computational complexity of winning this turn (mate-in-1 or "finding lethal") in Hearthstone as well as several other single turn puzzle types introduced in the Boomsday Lab expansion. We consider three natural generalizations of Hearthstone (in which hand size, board size, and deck size scale) and prove the various puzzle types in each generalization NP-hard.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsArtificial Intelligence in Games · Computability, Logic, AI Algorithms · Constraint Satisfaction and Optimization
