5bcf3a8b5b | ||
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.github/workflows | ||
.travis | ||
docs | ||
frotz | ||
jericho | ||
tests | ||
tools | ||
.gitignore | ||
.travis.yml | ||
CONTRIBUTING.md | ||
LICENSE | ||
MANIFEST.in | ||
README.md | ||
SECURITY.md | ||
requirements.txt | ||
setup.py |
README.md
A lightweight python-based interface connecting learning agents with interactive fiction games.
Requirements
Linux, Python 3.9+, Spacy, and basic build tools like gcc,make & curl.
Install
conda create -n jericho python=3
conda activate jericho
python -m pip install jericho
python -m spacy download en_core_web_sm
Documentation
- Quickstart
- Frotz Environment
- Object Tree
- Game Dictionary
- Template Action Generator
- Utilities
- Defines
Agents
- Reading Comprehension Deep Q-Network (RCDQN)
- Contextual Action Language Model (CALM)
- Q*BERT
- Knowledge Graph Advantage Actor Critic (KG-A2C)
- Template-DQN and DRRN
Citing Jericho
If Jericho is used in your research, please cite the following:
@article{hausknecht19,
title={Interactive Fiction Games: A Colossal Adventure},
author={Hausknecht, Matthew and Ammanabrolu, Prithviraj and C\^ot\'{e} Marc-Alexandre and Yuan Xingdi},
journal={CoRR},
year={2019},
url={http://arxiv.org/abs/1909.05398},
volume={abs/1909.05398}
}
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.