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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...
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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-...
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11/11/2020
Identifying Properties of Real-World Optimisation Problems through a Questionnaire
Optimisation algorithms are commonly compared on benchmarks to get insig...
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07/07/2020
Benchmarking in Optimization: Best Practice and Open Issues
This survey compiles ideas and recommendations from more than a dozen re...
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07/06/2020
Towards Game-Playing AI Benchmarks via Performance Reporting Standards
While games have been used extensively as milestones to evaluate game-pl...
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05/26/2020
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning
Recent procedural content generation via machine learning (PCGML) method...
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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...
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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...
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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 ...
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09/01/2019
Learning Local Forward Models on Unforgiving Games
This paper examines learning approaches for forward models based on loca...
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04/24/2019
Tile Pattern KL-Divergence for Analysing and Evolving Game Levels
This paper provides a detailed investigation of using the Kullback-Leibl...
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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...
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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...
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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...
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11/01/2016
Surrogate-Assisted Partial Order-based Evolutionary Optimisation
In this paper, we propose a novel approach (SAPEO) to support the surviv...
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03/11/2016