General Video Game for 2 players: Framework and competition
General Video Game for 2 players: Framework and competition
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2 人通用视频游戏：框架和竞争
DOI：
10.1109/ceec.2016.7835911
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
S. Lucas
中科院分区：
文献类型：
--
作者：
Raluca D. Gaina;Diego Perez Liebana;S. Lucas
本文提出了一种新的通用视频游戏人工智能竞争的通用人工智能代理，其特点是竞争和合作的真实的时间随机两个球员的比赛。比赛的目的是在更复杂和动态的环境中直接测试代理人，其中游戏中存在额外的不确定性，包括其他玩家的行为。的框架，服务器功能和一般的竞争设置进行了分析，并与几个样本控制器的实验结果。结果表明，目前开环蒙特卡罗树搜索是这组游戏的整体领先算法。
This paper presents a new track of the General Video Game AI competition for generic Artificial Intelligence agents, which features both competitive and cooperative real time stochastic two player games. The aim of the competition is to directly test agents against each other in more complex and dynamic environments, where there is an extra uncertainty in a game, consisting of the behaviour of the other player. The framework, server functionality and general competition setup are analysed and the results of the experiments with several sample controllers are presented. The results indicate that currently Open Loop Monte Carlo Tree Search is the overall leading algorithm on this set of games.
适用于一般视频游戏的基于知识的快速进化 MCTS
DOI：
10.1109/cig.2014.6932868
发表时间：
2014
期刊：
--
影响因子：
--
作者：
Perez D
通讯作者：
Perez D