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cs.AI2025
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…
cs.AI2025
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…
cs.AI2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
Zhourui Guo, Meng Yao, Yang Yu +1
Reinforcement learning is a powerful technique for learning from trial and error, but it often requires a large number of interactions to achieve good performance. In some domains,…