This repository accompanies research on improving language model factuality and reasoning through multi-agent debate.
Suspicion Agent
This repository implements a GPT-4 agent for playing imperfect information games with theory of mind.

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
- Directly tied to a published paper, with a citation provided in the README
- A single documented command runs comparisons against four baseline rule models
- 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
- Category
- AI & Machine Learning › Models & ML Research
- 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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