# RockPaperScissorsTrainer

**Repository Path**: abm4all/RockPaperScissorsTrainer

## Basic Information

- **Project Name**: RockPaperScissorsTrainer
- **Description**: Example for `Trainer` implementation.
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-12-24
- **Last Updated**: 2022-12-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# README

This ``RockPaperScissorsTrainer`` model is built to show how the 
``Trainer`` module of **Melodie** can be used. 
It implements the "evolutionary training" framework proposed in this [paper](https://ieeexplore.ieee.org/document/9857838/):

> Yu, S. (2022). An Agent-Based Framework for Policy Simulation: 
> Modeling Heterogeneous Behaviors With Modified Sigmoid Function and Evolutionary Training. 
> *IEEE Transactions on Computational Social Systems*.

You can find the [document](https://abm4all.github.io/Melodie/html/gallery/rock_paper_scissors.html) of this ``RockPaperScissorsTrainer`` model here.