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20242026
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8 papers · 1 filter

cs.AI2026

Do LLMs Trust the Accuser or the Accusation? Measuring Belief Shifts in Werewolf

Yu-Yu Yang, Ti-Rong Wu, Hung Guei +2

Social-deduction games such as Werewolf are increasingly used to evaluate LLM agents, but existing evaluations often rely on final game outcomes. We propose a belief-shift evaluati…

cs.AI2026

WallZero: Mastering the Game of WallGo with Strategic Analysis

Hsing-Yu Chen, Jérôme Arjonilla, I-Chen Wu +1

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 movem…

cs.AI2026

MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs

Kevin Wang, Anna Thöni, Benjamin Kempinski +50

Large language models (LLMs) are increasingly deployed as interactive agents, yet their capacity for social and strategic reasoning over extended interaction remains poorly underst…

cs.AI2026

MAPLE: Multi-State Aggregated Policy Evaluation for AlphaZero in Imperfect-Information Games

Qian-Rong Li, Hung Guei, I-Chen Wu +1

Imperfect-information games (IIGs) are challenging, as players must make decisions without fully observing the true game state. While AlphaZero has achieved remarkable success in p…

cs.AI2026

Evaluating Game Difficulty in Tetris Block Puzzle

Chun-Jui Wang, Jian-Ting Guo, Hung Guei +3

Tetris Block Puzzle is a single player stochastic puzzle in which a player places blocks on an 8 x 8 grid to complete lines; its popular variants have amassed tens of millions of d…

cs.AI2025

A Study of Solving Life-and-Death Problems in Go Using Relevance-Zone Based Solvers

Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei +3

This paper analyzes the behavior of solving Life-and-Death (L&D) problems in the game of Go using current state-of-the-art computer Go solvers with two techniques: the Relevance-Zo…

cs.AI2025

Relevance-Zone Reduction in Game Solving

Chi-Huang Lin, Ting Han Wei, Chun-Jui Wang +5

Game solving aims to find the optimal strategies for all players and determine the theoretical outcome of a game. However, due to the exponential growth of game trees, many games r…

cs.AI2024

Solving 7x7 Killall-Go with Seki Database

Yun-Jui Tsai, Ting Han Wei, Chi-Huang Lin +4

Game solving is the process of finding the theoretical outcome for a game, assuming that all player choices are optimal. This paper focuses on a technique that can reduce the heuri…