arXiv:2606.17847v1 Announce Type: new Abstract: WallGo is a recently introduced strategic board game popularized by the 2025 Netflix series The Devil's Plan. Although played on a small 7 x 7 board, its combination of stone movement and wall placement yields high game-tree complexity and intricate strategic interactions. Despite its growing popularity, WallGo remains underexplored. This paper presents WallZero, an AlphaZero-based agent for the two-player WallGo setting. We introduce tailored action and feature designs to improve playing performance significantly. In the evaluation, WallZero def
The proliferation of complex strategic games, often popularized through media, provides a fertile ground for AI research to advance game-playing algorithms.
WallZero demonstrates continued progress in AI's ability to master complex strategic environments, which is a core capability for developing more general AI agents.
This research contributes to the growing body of evidence that AI can rapidly master new strategic domains with specialized designs, potentially accelerating the development of agentic systems.
- · AI researchers
- · Game AI developers
- · Reinforcement learning community
- · Human WallGo professionals (if they emerge)
An AlphaZero-based agent demonstrates superior performance in the game of WallGo.
The techniques used for WallZero's tailored action and feature designs could be adapted to other complex, underspecified strategic problems.
Advances in game mastery could accelerate the development of autonomous agents for real-world strategic decision-making in diverse fields.
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Read at arXiv cs.AI