EvoTorch
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About
EvoTorch is a powerful framework for accelerating Evolutionary Algorithms and NeuroEvolution research and applications. It provides state-of-the-art algorithms and utilities for defining objective functions using PyTorch and running evolutionary algorithms at scale. Key capabilities include scalable parallelism, allowing experiments on multiple CPU or GPU nodes using Ray and PyTorch. It offers flexibility for various tasks such as exploring image, program, or design spaces, solving large-scale single/multiobjective engineering optimization problems, implementing fast Model Predictive Control with learned dynamics models, and evolving high-performance neural controllers for complex reinforcement learning tasks. EvoTorch reduces boilerplate code, enabling users to focus on problem-solving. Enterprise support is available from NNAISENSE for custom solutions, compute environments, production deployments, and maintenance.
Platform
Features
• gpu acceleration
• model predictive control
• multiple objective optimization
• neural controller evolution for rl
• optimization of complex problems
• scalable parallelism (cpu/gpu nodes)
• neuroevolution support
• next-generation evolutionary search
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