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 ap...
They have been created within the General Video Game Artificial Intelligence (GVGAI) Competition platform. Then, the algorithms have been tested in a set of 20 games from that competition, analyzing its performance. According to the obtained results, we can conclude that the proposed hybrid ...
The General Video Game AI framework and competition pose the problem of creating artificial intelligence that can play a wide, and in principle unlimited, range of games. Concretely, it tackles the problem of devising an algorithm that is able to play any game it is given, even if the game...
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AGI, short for Artificial General Intelligence, stands out as the focal point of recent discussions in the realm of artificial intelligence. It often elicits concerns, yet its potential lies in possessing cognitive abilities and competencies akin to those of humans. If successfully developed, AGI wou...
General Video Game AI: Competition, Challenges and Opportunities The General Video Game AI framework and competition pose the problem of creating artificial intelligence that can play a wide, and in principle unlimited, range of games. Concretely, it tackles the problem of devising an algorithm that...
Artificial Intelligence and Interactive Digital Entertainment Conference Jun 202126被引用 0笔记PDF 引用 收藏 摘要原文 This paper examines the performance of a number of AI agents on the games included in the General Video Game Playing Competition. Through analyzing these results, the paper seeks to...
advance the state-of-the-art of general game-playing systems and generic artificial intelligence. Work which is appropriate for the workshop requires, but not is not limited to, work related to the General Game Playing Competition and the General Video Game Playing Competition. ...
In general video game playing, the challenge is to create agents that play unseen games proficiently. Stochastic tree search algorithms, like Monte Carlo Tree Search, perform relatively well on this task. However, performance is non-transitive: different agents perform best in different games, which...
There are two general approaches to developing artificial general intelligence (AGI)1: computer-science-oriented and neuroscience-oriented. Because of the fundamental differences in their formulations and coding schemes, these two approaches rely on distinct and incompatible platforms2,3,4,5,6,7,8, ...