📠 The DialOp Environments

Collaborative decision-oriented dialogue environments for humans and LLM agents.

These environments are associated with the paper Decision-Oriented Dialogue For Human-AI Collaboration.

[Paper] [Website]

Play against GPT-3

Get started and play the games with GPT-3 as an assistant:

pip install -e .
vim dialop/.api_key
python dialop/play_gpt3.py --game {optimization, planning, mediation}

Overview

• games: define game logic, environment data generation
• envs: text-based interfaces for games
• apps: web app interfaces for games for human-human play

Name	Description	Human UI	Agent Text Interface	Hosted UI
Optimization	Assign the best reviewers for conference papers			Play now
Planning	Plan the best itinerary with the least travel and price			Play now
Mediation	Coordinate a set of group flights that works well for everyone			Play now

To play against yourself with the text-based environment:

python dialop/play.py --game {optimization, planning, mediation}

To play against yourself with the web UI:

cd dialop/apps
game={optimization, planning, mediation} flask run

For Planning, you'll need to input a MapboxGL access key in static/client.js and static/map.js to show the map on the agent side and access other map features.

Human-Human Dialogues

To see human-human dialogues:

unzip dialop/data.zip

Self-Play and Prompted Self-Play Evaluation

Coming soon!

Citation

@article{lin2023decision,
  title={Decision-Oriented Dialogue for Human-AI Collaboration},
  author={Lin, Jessy and Tomlin, Nicholas and Andreas, Jacob and Eisner, Jason},
  journal={arXiv preprint arXiv:2305.20076}
  year={2023}
}

License

The data license is available under LICENSE.md.