AI Wrapper for Dungeon Crawl Stone Soup

(Demo of an agent taking random actions to play DCSS in the browser using the docker container running a DCSS webserver instance)

About

dcss-ai-wrapper is an API for Dungeon Crawl Stone Soup for Artificial Intelligence research. This effort started with the following paper:

Papers:

• Dannenhauer, D., Dannenhauer, Z. A., Decker, J., Amos-Binks, A., Floyd, M., Aha D. W. dcss ai wrapper: An API for Dungeon Crawl Stone Soup providing both Vector and Symbolic State Representations. PRL Workshop - Bridging the Gap Between AI Planning and Reinforcement Learning. International Conference on Automated Planning and Scheduling (ICAPS). 2021.

• Dannenhauer, D., Floyd, M., Decker, J., Aha D. W. Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. Workshop on Games and Simulations for Artificial Intelligence. Thirty-Third AAAI Conference on Artificial Intelligence. Honolulu, Hawaii, USA. 2019.

If you use this repository in your research, please cite the most recent paper.

Tutorials:

• ICAPS 2021 Tutorial

If you'd like to contribute to the research effort aligned with this project, see Research Effort and Roadmap

Development Community

Join the chat at https://gitter.im/dcss-ai-wrapper/community

Checkout the YouTube channel for live coding streams and tutorial videos (more content to come soon): https://www.youtube.com/channel/UCPR_UzIThpHNGEZos1SVmLQ

Quickstart

See the Quickstart instructions on the documentation webpage.

Quickest way to use API

Example usage to create your own agent and run it:

from dcss.agent.base import BaseAgent
from dcss.state.game import GameState
from dcss.actions.action import Action
from dcss.websockgame import WebSockGame
from dcss.connection.config import WebserverConfig

import random

class MyAgent(BaseAgent):

    def __init__(self):
        super().__init__()
        self.gamestate = None

    def get_action(self, gamestate: GameState):
        self.gamestate = gamestate
        # get all possible actions
        actions = Action.get_all_move_commands()
        # call your planner or policy instead of random: 
        return random.choice(actions)

def main():
    my_config = WebserverConfig

    # set game mode to Tutorial #1
    my_config.game_id = 'tut-web-trunk'
    my_config.tutorial_number = 1

    # create game
    game = WebSockGame(config=my_config,
                      agent_class=MyAgent)
    game.run()

Contribute

• The most recent branch is the master branch.

• The current goal is to enable the API to support every DCSS action and level (except ABYSS, LABRYNTH levels, we'll worry about those later). The humaninterfaceagent is an agent that accepts keyboard input from a human. We are using this to test the API by playing DCSS. A great way to help contribute is to play the game and post any errors you get when playing as new git issues!

• Please feel free to look at existing issues and submit a PR.

• We welcome any and all questions on the Gitter.

• We expect to publish academic papers as we meet more milestones. If you contribute to the development of the project, we would like to include you as an author.

Building the documentation

Make sure the library is installed or autodoc may complain:

python
>>> import dcss

If you get a module not found error, install locally, for example:

cd dcss-ai-wrapper/
python -m pip install -e .

Option 1:

Build the api documentation by:

sphinx-apidoc -f -o docs/api/ src/dcss/

On windows, use the make.bat script to create the html files:

.\docs\make.bat html

Then open docs/_build/html/index.html in your browser to view the documentation.

If getting errors when building docs

Try two things: (1) make clean, like:

.\docs\make.bat clean

and also remove all files in the docs/api/ folder before doing

sphinx-apidoc -f -o docs/api/ src/dcss/

and then finally run make to generate the html

.\docs\make.bat html

Option 2:

Use sphinx-build from the root project directory like:

sphinx-build  -v -b html docs/ docs/_build

If getting the following error:

sphinx.errors.ExtensionError: Could not import extension autoapi.extension (exception: No module named 'autoapi')

then you may need to install autoapi like:

pip install sphinx-autoapi

Online Documentation

See the online documentation for more information.