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Evolutionary Strategies
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 …
Muhammad Umair Nasir
,
Sam Earle
,
Christopher Cleghorn
,
Steven James
,
Julian Togelius
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Code
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 …
Muhammad Umair Nasir
,
Michael Beukman
,
Steven James
,
Christopher Cleghorn
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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 …
Muhammad Umair Nasir
,
Steven James
,
Christopher Cleghorn
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Video
Supplementary Material
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content
In this work, we consider the problem of procedural content generation for video game levels. Prior approaches have relied on …
Nicholas Muir
,
Steven James
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