Abstract
General video game playing aims at designing an agent that is capable of playing multiple video games with no human intervention. In 2014, the General Video Game Artificial Intelligence (GVGAI) competition framework was created and released with the purpose of providing researchers a common open-source and easy-to-use platform for testing their artificial intelligence (AI) methods with potentially infinity of games created using the video game description language (VGDL). The framework has been expanded into several tracks during the last few years to meet the demands of different research directions. The agents are required either to play multiple unknown games with or without access to game simulations, or to design new game levels or rules. This survey paper presents the VGDL, the GVGAI framework, existing tracks, and reviews the wide use of GVGAI framework in research, education, and competitions five years after its birth. A future plan of framework improvements is also described.
| Original language | English |
|---|---|
| Article number | 2901021 |
| Pages (from-to) | 195-214 |
| Number of pages | 20 |
| Journal | IEEE Transactions on Games |
| Volume | 11 |
| Issue number | 3 |
| Early online date | 10 Mar 2019 |
| DOIs | |
| Publication status | Published - Sept 2019 |
| Externally published | Yes |
Funding
This work was supported in part by the EPSRC CDT in Intelligent Games and Game Intelligence under Grant EP/L015846/1, in part by the Shenzhen Peacock Plan under Grant KQTD2016112514355531, in part by the Science and Technology Innovation Committee Foundation of Shenzhen under Grant ZDSYS201703031748284, and in part by the Program for University Key Laboratory of Guangdong Province under Grant 2017KSYS008.
Keywords
- Artificial intelligence
- Computational intelligence
- Games
- General Video Game AI (GVGAI)
- General video game playing (GVGP)
- Video game description language (VGDL)