Abstract
This paper introduces UnityVGDL, a port of the Video Game Description Language (VGDL) to the widely used Unity game engine. Our framework is based on the General Video Game AI (GVGAI) competition framework and implements its core ontology, including a forward model. It integrates the Unity Machine Learning Agents (ML-Agents) toolkit with VGDL to train and run agents in VGDL-described games. We compare baseline learning results between GVGAI and UnityVGDL across four different games and conclude that the Unity port is comparable to the GVGAI framework. UnityVGDL is available at: https://github.com/pyjamads/UnityVGDL.
| Original language | English |
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| Title of host publication | 2019 IEEE Conference on Games (CoG) |
| Number of pages | 8 |
| Publisher | IEEE |
| Publication date | 1 Aug 2019 |
| ISBN (Electronic) | 978-1-7281-1884-0 |
| DOIs | |
| Publication status | Published - 1 Aug 2019 |
| Event | IEEE Conference on Games (2019) - Queen Mary University of London, London, United Kingdom Duration: 20 Aug 2019 → 23 Aug 2019 http://www.ieee-cog.org |
Conference
| Conference | IEEE Conference on Games (2019) |
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| Location | Queen Mary University of London |
| Country/Territory | United Kingdom |
| City | London |
| Period | 20/08/2019 → 23/08/2019 |
| Internet address |
Keywords
- UnityVGDL
- Video Game Description Language (VGDL)
- General Video Game AI (GVGAI)
- Unity Machine Learning Agents (ML-Agents)
- Forward Model Integration