Neuroevolution

LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization
Large language models (LLMs) have emerged as powerful tools capable of accomplishing a broad spectrum of tasks. Their abilities span …
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Hierarchically Composing Level Generators for the Creation of Complex Structures
Procedural content generation (PCG) is a growing field, with numerous applications in the video game industry and great potential to …
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Augmentative Topology Agents For Open-ended Learning
We tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents while also evolving …
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Augmentative Topology Agents For Open-ended Learning
In this work, we tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents and increasingly …
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Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and …
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Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels