5 papers
No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding
Yanchang Fu, Shengda Liu, Pei Xu +1
High-quality information set abstraction remains a core challenge in solving large-scale imperfect-information extensive-form games (IIEFGs)--such as no-limit Texas Hold'em--where…
KrwEmd: Revising the Imperfect-Recall Abstraction from Forgetting Everything
Yanchang Fu, Qiyue Yin, Shengda Liu +2
Excessive abstraction is a critical challenge in hand abstraction-a task specific to games like Texas hold'em-when solving large-scale imperfect-information games, as it impairs AI…
Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games
Yanchang Fu, Qiyue Yin, Shengda Liu +2
Hand abstraction is crucial for scaling imperfect-information games (IIGs) such as Texas Hold'em, yet progress is limited by the lack of a formal task model and by evaluations that…
Image-to-Text for Medical Reports Using Adaptive Co-Attention and Triple-LSTM Module
Yishen Liu
Medical report generation requires specialized expertise that general large models often fail to accurately capture. Moreover, the inherent repetition and similarity in medical dat…
WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models
Qiyue Yin, Pei Xu, Qiaozhe Li +15
Recent breakthroughs in Large Language Models (LLMs) have led to a qualitative leap in artificial intelligence' s performance on reasoning tasks, particularly demonstrating remarka…