General Video Game AI Framework
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/rdgain/ExperimentData/tree/NTBEA-RHEA-2019
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资源简介：
该数据集是一个框架，其中包含了多种视频游戏，用于通过新型测试基准进化算法（NTBEA）调整RHEA参数。它不仅包含了与游戏玩家代理优化相关的结果和绘图脚本，还包含了额外的相关图表。该数据集的规模涉及20款游戏，以及大约4.03亿种不同的参数组合。其任务是利用滚动时域进化算法进行视频游戏参数优化。
This dataset is a framework integrating multiple video games, designed to tune the parameters of RHEA using the Novel Test Benchmark Evolutionary Algorithm (NTBEA). It encompasses not only results and plotting scripts associated with game-playing agent optimization, but also supplementary relevant charts. Comprising 20 video games, this dataset includes approximately 403 million unique parameter combinations. The core objective of this dataset is to conduct video game parameter optimization via the Receding Horizon Evolutionary Algorithm (RHEA).
提供机构：
GitHub
