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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Kunanusont, Kamolwan; Lucas, Simon M.; Perez-Liebana, Diego (2017)
Languages: English
Types: Preprint
Subjects: Computer Science - Artificial Intelligence

Classified by OpenAIRE into

ACM Ref: ComputingMilieux_PERSONALCOMPUTING
General Video Game Artificial Intelligence is a general game playing framework for Artificial General Intelligence research in the video-games domain. In this paper, we propose for the first time a screen capture learning agent for General Video Game AI framework. A Deep Q-Network algorithm was applied and improved to develop an agent capable of learning to play different games in the framework. After testing this algorithm using various games of different categories and difficulty levels, the results suggest that our proposed screen capture learning agent has the potential to learn many different games using only a single learning algorithm.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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