# Wenyueh/game\_theory

<https://repo.masters-masters.com/en/repos/Wenyueh/game_theory>

[Home](https://repo.masters-masters.com/en) › [Wenyueh](https://repo.masters-masters.com/en/owners/Wenyueh) › [game\_theory](https://repo.masters-masters.com/en/repos/Wenyueh/game_theory)

Wenyueh/game\_theory has 113 stars on GitHub. Its RepoMasters card: Prototype tier. How to create rational LLM-based agents? Using game-theoretic workflows\!

| Field | Value |
| --- | --- |
| Owner | [Wenyueh](https://repo.masters-masters.com/en/owners/Wenyueh) |
| Stars | 113 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Wenyueh/game\_theory](https://github.com/Wenyueh/game_theory) |

## Repository

How to create rational LLM-based agents? Using game-theoretic workflows\!

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.