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:

@article{shapira2025human,
  title={Human choice prediction in language-based persuasion games: Simulation-based off-policy evaluation},
  author={Shapira, Eilam and Madmon, Omer and Apel, Reut and Tennenholtz, Moshe and Reichart, Roi},
  journal={Transactions of the Association for Computational Linguistics},
  volume={13},
  pages={980--1006},
  year={2025},
  publisher={MIT Press 255 Main Street, 9th Floor, Cambridge, Massachusetts 02142, USA}
}