# General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms

*Source* · `src-perez-liebana-2018-gvgai` · status: **n/a**

| field | value |
|---|---|
| kind | Preprint |
| authors | Diego Perez-Liebana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas |
| venue | arXiv (accepted by IEEE Transactions on Games) |
| date | 2018-02-28 |
| arxiv | 1802.10363 |
| accessed | 2026-10-31 |

## Notes

Read the arXiv abstract page (v4, revised 22 February 2019). Reviews the GVGAI framework, released in 2014: an open-source platform whose games are written in VGDL, with tracks for agents that play unknown games with or without a forward model and for agents that generate levels or rules, and its use in research, education and competitions.

## Citation

Diego Perez-Liebana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas (2018-02-28). *General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms*. arXiv (accepted by IEEE Transactions on Games) https://arxiv.org/abs/1802.10363

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Provenance: created in run `2026-10-31-paper-related-work`.