WallZero AI Masters WallGo, Reveals Game Strategies

Hsing-Yu Chen, J\'er\^ome Arjonilla, I-Chen Wu, Ti-Rong Wu· June 17, 2026 View original

Summary

WallZero, an AlphaZero-based AI agent, has been developed to master the strategic board game WallGo, recently popularized by a Netflix series. The AI, featuring tailored action and feature designs, defeated professional Go players and was used to analyze game fairness and identify key strategies.

WallGo is a recently introduced strategic board game that gained popularity following its feature in the 2025 Netflix series "The Devil's Plan." Despite being played on a relatively small 7x7 board, the game's combination of stone movement and wall placement creates a high degree of game-tree complexity and intricate strategic interactions, making it a challenging domain for AI research. To explore this underexplored game, researchers developed WallZero, an AI agent based on the AlphaZero framework. WallZero incorporates specifically tailored action and feature designs to significantly enhance its playing performance. In evaluations, WallZero demonstrated its prowess by consistently defeating two professional Go players who participated in the study, securing an average of 1.98 times more territory per game. Beyond its exceptional playing strength, WallZero was also utilized as an analytical tool to assess the fairness of the game and to identify key strategies for mastering WallGo. Interestingly, the analysis revealed that the specific opening move featured in the Netflix series actually leads to a more balanced game outcome. The code for WallZero has been made publicly available.

Why it matters

This research demonstrates the continued power of AlphaZero-like AI in mastering complex strategic games, even newly introduced ones. For AI professionals, it showcases how advanced reinforcement learning can not only achieve superhuman performance but also serve as a tool for game analysis, strategy discovery, and even game design.

How to implement this in your domain

  1. 1Apply AlphaZero-based reinforcement learning to master other complex strategic games or simulations.
  2. 2Develop tailored action and feature designs to optimize AI performance in specific game environments.
  3. 3Utilize strong AI agents as analytical tools to uncover optimal strategies and assess game balance.
  4. 4Explore the application of game-mastering AI to real-world strategic planning or optimization problems.
  5. 5Contribute to or leverage open-source AI game-playing projects for research and development.

Who benefits

GamingAI ResearchStrategic PlanningSimulation & ModelingEntertainment

Key takeaways

  • WallZero, an AlphaZero-based AI, has mastered the strategic board game WallGo.
  • Tailored AI designs significantly improved its playing performance.
  • WallZero defeated professional Go players and secured more territory.
  • The AI was used to analyze game fairness and identify key strategies, including balanced openings.

Original post by Hsing-Yu Chen, J\'er\^ome Arjonilla, I-Chen Wu, Ti-Rong Wu

"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 complex…"

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Originally posted by Hsing-Yu Chen, J\'er\^ome Arjonilla, I-Chen Wu, Ti-Rong Wu on X · view source

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