Generating Interactive Worlds with Text

Understand

Procedurally generating cohesive and interesting game environments is challenging and time-consuming.

• In order for the relationships between the game elements to be natural, common-sense has to be encoded into arrangement of the elements.
• In this work, we investigate a machine learning approach for world creation using content from the multi-player text adventure game environment LIGHT.
• We introduce neural network based models to compositionally arrange locations, characters, and objects into a coherent whole.