Brooklyn Bang Bang

Setup for a project/competition amongst students to train a winning Reinforcement Learning agent for the classic game Bomberman.

Approaches

• Terry Jeffords simple neural network approach
• Amy Santiago is an agent, based on Pytorch Example
• Rosa Diaz agent with pre-selection of valid/invalid and preferred/discouraged actions
• Jake Peralta
• Nikolaj Boyle
• Scully agent with full sight but convolution layers in the network
• Blindfisch agent with restricted sight and convolution of input features
• Hitchcock imitates the rule based agent

Github Actions

Training agents can be annoying. To ease our work, we have integrated a Github Action to train our agents automatically. Sadly, my server does not have a graphic card, so we still use the CPU to train. Well, I ain't rich :D

Run Github Runner using a Docker Runner image:

docker run -it --name github-runner \
    -e RUNNER_NAME=private \
    -e GITHUB_ACCESS_TOKEN=... \
    -e RUNNER_TOKEN=... \
    -e RUNNER_REPOSITORY_URL=https://github.com/stefanDeveloper/bomberman \
    -v /var/run/docker.sock:/var/run/docker.sock \
    tcardonne/github-runner:ubuntu-20.04

Troubleshooting occurred when we ran the latest image. However, in this pull request, they added the ubuntu support. Using this tag, we can set up our python environment.

Error: Version 3.9 with arch x64 not found

Tips & Tricks

Setup environment:

pip install -r requirements.txt

Train agent:

python -m main play --agents scully --train 1 --n-round 2500 --no-gui

Play agent:

python -m main play --agents scully