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When Not to Use Neural Networks
While neural networks are powerful, they aren't always the best tool for the job. This post explores cases where simpler models outperform them, with Python code snippets and experiments.
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Seven Years Later: Refactoring the Code Behind My First Peer-Reviewed Paper
I revisit the code from my first peer-reviewed paper (and master's thesis), published seven years ago, to modernize it with the skills and knowledge I’ve gained since, improving its performance, readability, and maintainability.
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Testing the new JaxMARL library
Testing JaxMARL, a cutting-edge library for multi-agent reinforcement learning, built on the high-performance JAX framework for efficient parallel computation.
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Ranking Diversity Benefits CoEAs on an Intransitive Game
Introducing ranking diversity for competitive coevolutionary algorithms