Accelerating Neuroevolution with EvoJAX

The paper EvoJAX: Hardware-Accelerated Neuroevolution introduces a toolkit designed to enhance the efficiency of neuroevolution algorithms by utilizing hardware accelerators. The EvoJAX toolkit is based on the JAX library and demonstrates significant improvements in the speed of evolutionary computations.

Key Features:

• Implements evolution algorithms, neural networks, and tasks in NumPy, optimized for just-in-time compilation and running on accelerators.
• Demonstrates application in a range of domains including supervised and reinforcement learning, and even generative art.

EvoJAX significantly reduces the time required for neuroevolution experiments, turning what used to be hours or days on CPUs into minutes on accelerators. This acceleration enables faster iterations and could lead to quicker innovations in various AI fields.