论文标题
基于聚类的瓷砖嵌入（CTE）：偏斜瓷砖分布的水平设计的一般表示形式
Clustering-based Tile Embedding (CTE): A General Representation for Level Design with Skewed Tile Distributions
论文作者
论文摘要
通过机器学习（PLGML），对程序水平生成具有重大的研究兴趣，将ML技术应用于自动化水平的生成。最近的一个趋势是通过嵌入（例如瓷砖嵌入）进行水平设计的学习表示方向。瓷砖嵌入是游戏级别的连续向量表示，统一了其视觉，上下文和行为信息。但是，原始的嵌入嵌入的瓷砖很难产生偏斜的瓷砖分布的水平。例如，超级马里奥兄弟（SMB），其中大多数瓷砖代表背景。为了解决这个问题，我们提出了一个修改的图块嵌入表示形式，称为基于聚类的瓷砖嵌入（CTE）。此外，我们采用聚类来离散连续的CTE表示，并提出新颖的两步级生成来利用这两种表示。我们评估了我们的方法的性能，以生成具有偏斜的瓷砖分布的可见和看不见游戏的水平，并优于原始瓷砖嵌入。
There has been significant research interest in Procedural Level Generation via Machine Learning (PLGML), applying ML techniques to automated level generation. One recent trend is in the direction of learning representations for level design via embeddings, such as tile embeddings. Tile Embeddings are continuous vector representations of game levels unifying their visual, contextual and behavioural information. However, the original tile embedding struggled to generate levels with skewed tile distributions. For instance, Super Mario Bros. (SMB) wherein a majority of tiles represent the background. To remedy this, we present a modified tile embedding representation referred to as Clustering-based Tile Embedding (CTE). Further, we employ clustering to discretize the continuous CTE representation and present a novel two-step level generation to leverage both these representations. We evaluate the performance of our approach in generating levels for seen and unseen games with skewed tile distributions and outperform the original tile embeddings.
