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### Aim
In this game, we'll implement a simple AI that can play Flappy Bird using the NEAT (NeuroEvolution of Augmenting Topologies) algorithm, which is a method for evolving artificial neural networ…
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CODEEPNEAT restoring state results in divide by zero when training on GPU.
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Backed up generation 17 of the CoDeepNEAT evolutionary run to file: /content/tfne_state_backups/tfne_state_backup_…
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In particular:
ne -> neuroevolution
dl -> deeplearning (or gradient_descent)?
litmodule -> lightning_module
This will reduce the needs for documentation.
Good libraries have good variable an…
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Hi! I'm using accelerate to perform distributed RL training. I'm using neuroevolution during training, meaning that at regular intervals my network architecture randomly mutates. The issue is that I'm…
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If you open a GitHub issue, here is our policy:
It must be a bug, a feature request, or a significant problem with the documentation (for small docs fixes please send a PR instead).
The form below…
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Hello, I'm trying out evotorch to eventually do some black box optimization on the YOLOv8 model. However, I've run into the following error when trying to run SNES on a SupervisedNE problem on the CO…
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## 🐛 Bug
I use downloaded from site a stable version 1.3.1 of libtorch in debug and release modes
And I'm testing a simple project on mnist data from pytorch site.
When project is executed and …
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Hi @dadukhankevin , Thanks for sharing the wonderful framework. However, I have trouble in using personal data to train and test. For example, how do I using Finch to process iris dataset, stored in a…
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Hey guys,
amazing work! Quick question, is it possible to also evolve topology of networks using your framework? Like NEAT does?