This repository contains the source code for a Diplomacy Open AI Gym that uses BANDANA as game engine.
It is the code used for my Master's thesis for the Software Engineering and Computer Science degree at FEUP. The state and action structure used were also published as a paper.
The agent is capable only of negotiating. The tactical plays are made by the D-Brane player.
The conceptual diagram of this project:
This directory contains the code for custom RL agents that were created for training.
This directory contains all the Java modules. At the moment only BANDANA and the OpenAIAgent are in it.
This directory contains the Protobuf messages that are exchanged between modules.
This directory contains all the Python modules for developing the environment.
The recommended way to install and run this environment is using Docker, as it contains a lot of depencies.
To run with Docker, you must first build the Java artifacts using mvn package. Then simply build the Dockerfile in the root of this directory:
docker build --rm -f "Dockerfile" -t dip-q:latest .This will create an image with every dependency needed to execute the project. The default environment for the image is development, which means you are able to compile Java code and run Maven inside the container.
To run a container and navigate inside:
docker run --rm -it dip-q:latest