AI Assisted Content Generation

The north star of AI development has long revolved around optimizing agents that are at ``human-levels’’ of accuracy on a given set of tasks — often learning by mimicking how humans perform. Such objectives contain undertones of AI being a means to the end of replacing humans across a wide breadth of tasks and are thus misaligned with the goal of creating trustworthy AI agents. This project focuses on creating agents that are optimized to it collaborate with humans and complement their problem solving abilities in order to ensure that future AI agents are better aligned towards benefiting society at large.

References

2020

Toward Automated Quest Generation in Text-Adventure Games

Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, and Mark O. Riedl

In International Conference on Computational Creativity (ICCC), 2020

Bib Paper

@inproceedings{ammanabrolu2020towards,
  title = {Toward Automated Quest Generation in Text-Adventure Games},
  author = {Ammanabrolu, Prithviraj and Broniec, William and Mueller, Alex and Paul, Jeremy and Riedl, Mark O.},
  booktitle = {International Conference on Computational Creativity (ICCC)},
  year = {2020},
  url = {https://arxiv.org/abs/1909.06283},
}

Bringing stories alive: Generating interactive fiction worlds

Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, and Mark O Riedl

In Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20), 2020

Bib Paper Code

@inproceedings{ammanabrolu2020bringing,
  title = {Bringing stories alive: Generating interactive fiction worlds},
  author = {Ammanabrolu, Prithviraj and Cheung, Wesley and Tu, Dan and Broniec, William and Riedl, Mark O},
  booktitle = {Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20)},
  url = {https://www.aaai.org/ojs/index.php/AIIDE/article/view/7400},
  year = {2020},
}