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When doing a search as `searcher = SNES(prob, stdev_init=0.1, num_interactions=100)` and then run it, I get the error.
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@jakevdp I am trying to use float8 datatypes as part of training quantized spiking neural networks but cannot initialise weights for a network because jax.random.\_uniform does not support jnp.float8_…
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From: @hardmaru "maybe applying genetic algos to evolve neural nets can be a way to wrap up the last 2 chapters of #natureofcode?"
http://blog.otoro.net/2015/05/07/creatures-avoiding-planks/
https://…
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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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In codeepneat initialize_population() (line 104) should initialize best_fitness to None rather than 0 to avoid issues with negative fitness values.
...
self.pop.best_fitness = 0 # should be None
.…
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A complete innovation from yane to make multiprocessing and crossover easier. Some features will also be simplified.
Should also solve some underlying problems, such as the fact that sometimes neur…
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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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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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CODEEPNEAT restoring state results in divide by zero when training on GPU.
```
Backed up generation 17 of the CoDeepNEAT evolutionary run to file: /content/tfne_state_backups/tfne_state_backup_…