Sequential Segment-based Level Generation and Blending using Variational Autoencoders

07/17/2020
by   Anurag Sarkar, et al.
0

Existing methods of level generation using latent variable models such as VAEs and GANs do so in segments and produce the final level by stitching these separately generated segments together. In this paper, we build on these methods by training VAEs to learn a sequential model of segment generation such that generated segments logically follow from prior segments. By further combining the VAE with a classifier that determines whether to place the generated segment to the top, bottom, left or right of the previous segment, we obtain a pipeline that enables the generation of arbitrarily long levels that progress in any of these four directions and are composed of segments that logically follow one another. In addition to generating more coherent levels of non-fixed length, this method also enables implicit blending of levels from separate games that do not have similar orientation. We demonstrate our approach using levels from Super Mario Bros., Kid Icarus and Mega Man, showing that our method produces levels that are more coherent than previous latent variable-based approaches and are capable of blending levels across games.

READ FULL TEXT

page 6

page 7

page 8

research
02/27/2020

Controllable Level Blending between Games using Variational Autoencoders

Previous work explored blending levels from existing games to create lev...
research
03/09/2022

On Linking Level Segments

An increasingly common area of study in procedural content generation is...
research
04/13/2021

Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution

Video game level generation based on machine learning (ML), in particula...
research
03/27/2020

A super scalable algorithm for short segment detection

In many applications such as copy number variant (CNV) detection, the go...
research
07/22/2020

Feature based Sequential Classifier with Attention Mechanism

Cervical cancer is one of the deadliest cancers affecting women globally...
research
05/17/2020

SPot: A tool for identifying operating segments in financial tables

In this paper we present SPot, an automated tool for detecting operating...
research
09/26/2016

Online Segment to Segment Neural Transduction

We introduce an online neural sequence to sequence model that learns to ...

Please sign up or login with your details

Forgot password? Click here to reset