MC-DML Project

Monte Carlo Planning with Large Language Model for Text-Based Game Agents

This project explores the integration of Monte Carlo planning techniques with large language models to enhance the performance of agents in text-based games.

Project Repository

Access the full project on GitHub:

https://github.com/winni18/MC-DML

Key Files

• main.py: The main script to run the project.
• game_stas.py: Contains game statistics and related functions.
• README.md: Detailed documentation about the project.

How to Run

To run this project locally:

1. Clone the repository:

git clone https://github.com/winni18/MC-DML.git

2. Navigate to the project directory:

cd MC-DML

3. Install the required dependencies:

pip install -r requirements.txt

4. Run the main script:

python main.py