Vanessa Volz | DeepAI

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∙ 02/16/2023

Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games

The term Procedural Content Generation (PCG) refers to the (semi-)automa...

2 Vanessa Volz, et al. ∙

∙ 05/27/2021

Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN

Generative Adversarial Networks (GANs) are a powerful indirect genotype-...

6 Jacob Schrum, et al. ∙

∙ 11/11/2020

Identifying Properties of Real-World Optimisation Problems through a Questionnaire

Optimisation algorithms are commonly compared on benchmarks to get insig...

0 Koen van der Blom, et al. ∙

∙ 07/07/2020

Benchmarking in Optimization: Best Practice and Open Issues

This survey compiles ideas and recommendations from more than a dozen re...

11 Thomas Bartz-Beielstein, et al. ∙

∙ 07/06/2020

Towards Game-Playing AI Benchmarks via Performance Reporting Standards

While games have been used extensively as milestones to evaluate game-pl...

0 Vanessa Volz, et al. ∙

∙ 05/26/2020

Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning

Recent procedural content generation via machine learning (PCGML) method...

90 Vanessa Volz, et al. ∙

∙ 04/14/2020

Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems

Benchmarks are a useful tool for empirical performance comparisons. Howe...

0 Koen van der Blom, et al. ∙

∙ 04/03/2020

CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation

Generative Adversarial Networks (GANs) are proving to be a powerful indi...

0 Jacob Schrum, et al. ∙

∙ 03/31/2020

Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks

Generative Adversarial Networks (GANs) are an emerging form of indirect ...

0 Jacob Schrum, et al. ∙

∙ 09/01/2019

Learning Local Forward Models on Unforgiving Games

This paper examines learning approaches for forward models based on loca...

4 Alexander Dockhorn, et al. ∙

∙ 04/24/2019

Tile Pattern KL-Divergence for Analysing and Evolving Game Levels

This paper provides a detailed investigation of using the Kullback-Leibl...

0 Simon M. Lucas, et al. ∙

∙ 03/29/2019

A Local Approach to Forward Model Learning: Results on the Game of Life Game

This paper investigates the effect of learning a forward model on the pe...

8 Simon M. Lucas, et al. ∙

∙ 01/03/2019

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best

This paper introduces a simple and fast variant of Planet Wars as a test...

20 Simon M. Lucas, et al. ∙

∙ 05/02/2018

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Generative Adversarial Networks (GANs) are a machine learning approach c...

0 Vanessa Volz, et al. ∙

∙ 11/01/2016

Surrogate-Assisted Partial Order-based Evolutionary Optimisation

In this paper, we propose a novel approach (SAPEO) to support the surviv...

0 Vanessa Volz, et al. ∙

∙ 03/11/2016

Demonstrating the Feasibility of Automatic Game Balancing

Game balancing is an important part of the (computer) game design proces...

0 Vanessa Volz, et al. ∙

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