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Are Large Language Models Strategic Decision Makers? A Study of
  Performance and Bias in Two-Player Non-Zero-Sum Games
v1v2 (latest)

Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games

5 July 2024
Nathan Herr
Fernando Acero
Roberta Raileanu
María Pérez-Ortiz
Zhibin Li
    LRM
ArXiv (abs)PDFHTMLGithub

Papers citing "Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games"

4 / 4 papers shown
LLM-Guided Reinforcement Learning with Representative Agents for Traffic Modeling
LLM-Guided Reinforcement Learning with Representative Agents for Traffic Modeling
Hanlin Sun
Jiayang Li
161
1
0
09 Nov 2025
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers
Haoran Sun
Yusen Wu
Yukun Cheng
Wei Chen
Yukun Cheng
X. Deng
Xu Chu
OffRLLM&MAAI4CE
581
5
0
13 Feb 2025
TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs
TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs
Jian Shu
Xiachong Feng
Lei Li
Zhan Qin
Dianbo Sui
Dianbo Sui
Lingpeng Kong
LRMELM
489
17
0
14 Oct 2024
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments
Shu Yang
E. Li
Man Ho Lam
Tian Liang
Wenxuan Wang
Youliang Yuan
Wenxiang Jiao
Xing Wang
Zhaopeng Tu
Michael R. Lyu
ELMLLMAG
665
64
0
18 Mar 2024
1
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