EvoJAX: A Hardware-Accelerated Neuroevolution
Read OriginalEvoJAX is a scalable, general-purpose neuroevolution toolkit built on JAX. It accelerates neuroevolution algorithms by implementing the evolution process, neural networks, and tasks in JAX/NumPy, enabling just-in-time compilation to run on hardware accelerators like TPUs and GPUs. This allows experiments that would take hours or days on CPUs to complete in minutes. The article covers its installation, architecture, and provides examples for tasks like reinforcement learning and generative art.
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