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https://www.um.edu.mt/library/oar/handle/123456789/81553
Title: | General video game AI : a multitrack framework for evaluating agents, games, and content generation algorithms |
Authors: | Perez-Liebana, Diego Liu, Jialin Khalifa, Ahmed Gaina, Raluca D. Togelius, Julian Lucas, Simon M. |
Keywords: | Artificial intelligence Computer games Computer simulation Free computer software |
Issue Date: | 2019 |
Publisher: | Institute of Electrical and Electronics Engineers |
Citation: | Perez-Liebana, D., Liu, J., Khalifa, A., Gaina, R. D., Togelius, J., & Lucas, S. M. (2019). General video game AI : a multitrack framework for evaluating agents, games, and content generation algorithms. IEEE Transactions on Games, 11(3), 195-214. |
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. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/81553 |
Appears in Collections: | Scholarly Works - InsDG |
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File | Description | Size | Format | |
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General_Video_Game_AI_A_Multitrack_Framework_for_Evaluating_Agents_Games_and_Content_Generation_Algorithms_2019.pdf Restricted Access | 801.89 kB | Adobe PDF | View/Open Request a copy |
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