/HumanChoicePrediction

Code and data of the paper "Human Choice Prediction in Language-based Non-Cooperative Games: Simulation-based Off-Policy Evaluation" (Shapira et al. 2023)

Primary LanguagePython

Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation

Getting Started

Prerequisites

Before you begin, ensure you have the following tools installed on your system:

  • Git
  • Anaconda or Miniconda

Installation

To install and run the code on your local machine, follow these steps:

  1. Clone the repository

    First, clone the repository to your local machine using Git. Open a terminal and run the following command:

    git clone https://github.com/eilamshapira/HumanChoicePrediction

  2. Create and activate the conda environment

    After cloning the repository, navigate into the project directory:

    cd HumanChoicePrediction

    Then, use the following command to create a conda environment from the requirements.yml file provided in the project:

    conda env create -f requirements.yml

  3. Log in to Weights & Biases (W&B)

    Weights & Biases is a machine learning platform that helps you track your experiments, visualize data, and share your findings. Logging in to W&B is essential for tracking the experiments in this project. If you haven't already, you'll need to create a W&B account. Use the following command to log in to your account:

    wandb login

Citation

If you find this work useful, please cite our paper:

@misc{shapira2024human,
      title={Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation}, 
      author={Eilam Shapira and Reut Apel and Moshe Tennenholtz and Roi Reichart},
      year={2024},
      eprint={2305.10361},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}