Comments (1)
The library supports production of the recurrent links, but it is part of the evolutionary process how to produce such links.
The library right now also supports the idea of modular networks, which can be used to construct initial genome with a kind of recurrent logic incorporated from the beginning of evolution.
I have not investigated this any further yet, but it seems like very promising idea to use genome modules to imitate recurrent networks.
Also, I'm still working on ES-HyperNEAT which allows to produce even more complex and larger phenotypes. It is still work in progress which I'm planning to work on.
I'm living in Ukraine and right now we have a war here. So, it is hard to estimate when I would be able to continue on this library. I hope that it would be possible sooner or later.
from goneat.
Related Issues (20)
- Implement dump to the Numpy format statistics collected by experiment executor (https://github.com/sbinet/npyio)
- Implement SIGTERM support for experiment runner
- We need to extract Mutator and Reproducer.
- Change logger
- Update Makefile to provide experiment run targets
- Explore possibilities of saving genomes into directed graphs
- Optimizing genomes before saving HOT 1
- More details on traits HOT 1
- Keep champions between generations HOT 2
- Automatically tune compatibility threshold for species when training HOT 8
- Update GenerationEvaluator to take context.Context as parameter HOT 1
- Remove nodes and links during mutations HOT 3
- Update experiment executor library to include standard utility to create output directory with backup
- Update experiment executor library to provide utility for saving experiment results
- NewPopulationRandom does not assign random configured activatiors HOT 3
- Random genomes and add link mutations will link output nodes to other nodes HOT 6
- Style not rendering from formats generated cytoscape json data. HOT 6
- How to set up start genomes?
- Log levels do not work properly HOT 1
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from goneat.