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Seth Cooper

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CY1

identity via Semantic Scholar / OpenAlex

most citedControllable Level Blending between Games using Variational Autoencoders

22 citations · 26 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2020★ 4 cited

Game Level Clustering and Generation using Gaussian Mixture VAEs

Zhihan Yang, Anurag Sarkar, Seth Cooper

Variational autoencoders (VAEs) have been shown to be able to generate game levels but require manual exploration of the learned latent space to generate outputs with desired attri…

cs.CY2020

Towards Game Design via Creative Machine Learning (GDCML)

Anurag Sarkar, Seth Cooper

In recent years, machine learning (ML) systems have been increasingly applied for performing creative tasks. Such creative ML approaches have seen wide use in the domains of visual…

cs.LG2020

Sequential Segment-based Level Generation and Blending using Variational Autoencoders

Anurag Sarkar, Seth Cooper

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 segmen…

cs.LG2020★ 22 cited

Controllable Level Blending between Games using Variational Autoencoders

Anurag Sarkar, Zhihan Yang, Seth Cooper

Previous work explored blending levels from existing games to create levels for a new game that mixes properties of the original games. In this paper, we use Variational Autoencode…

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