Suspicion Agent

This repository implements a GPT-4 agent for playing imperfect information games with theory of mind.

github.com/CR-Gjx/Suspicion-Agent
Suspicion Agent homepage screenshot

About Suspicion Agent

Suspicion Agent is a Python code repository that implements a GPT-4 agent for playing imperfect information games with theory of mind. It is the implementation accompanying the paper "Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4" (arXiv 2309.17277). The README gives installation steps (Python 3.8.5 or later and the packages in requirements.txt), describes setting up an OpenAI key, and provides a command to train and evaluate agents against rule-based baseline models.

Using the agent requires an OpenAI API key, so gameplay with GPT-4 depends on an external service. The README is brief and centers on setup and one run command.

Key features

  • GPT-4 agent for playing imperfect information games with theory of mind
  • Command-line script comparing the agent against baseline models
  • Baseline options: cfr, nfsp, dqn, and dmc rule models
  • Separate folders for game configuration and person configuration files
  • Retriever and context modules used by the agent code
  • Sample output and game data files included in the repository
Best for: Researchers studying large language model agents, theory of mind, and decision-making in imperfect information games.
Good for
  • Directly tied to a published paper, with a citation provided in the README
  • A single documented command runs comparisons against four baseline rule models
Watch out for
  • Requires an OpenAI API key, so GPT-4 use depends on an external service
  • Requires Python 3.8.5 or later
  • The README covers installation and one run command, with limited further documentation

Suspicion Agent at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Suspicion Agent FAQ

What do I need to run the code?
The README lists Python 3.8.5 or later, installation of the packages in requirements.txt, and an OpenAI key set up as described in the README.
Which baseline models can the agent be compared against?
The run command accepts cfr, nfsp, dqn, or dmc as the rule model option.
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