-
Are there any plans to include the popular cma-es solver?
I am particularly interested in the option with noisy objectives...
jbrea updated
6 years ago
-
Hello,
[CMA-ES](http://cma.gforge.inria.fr/) is a powerful evolutionary algorithm for black-box optimization problems. If there is interest in adding it to this optimization suite, I would be happy t…
-
CMA-ES is very common approach for real-valued optimization problems. We can rely on a third part package for implementation of the actual CMA-ES where LEAP would essentially be a wrapper for that pa…
-
https://en.wikipedia.org/wiki/CMA-ES
-
Hi! I am interested in training the ant robot using the CMA-ES strategy.
I tried running the notebook examples/07_brax_control.ipynb and the performances I get are off. When running it as it is, wi…
-
This is a continued version of mlpack/mlpack#1475, ported to the ensmallen repository because this is a more appropriate place. This was originally opened by @FloopCZ with the following text:
> Hi…
-
### Package Name/Version
cmaes/0.10.0
### Webpage
https://github.com/CMA-ES/libcmaes
### Source code
https://github.com/CMA-ES/libcmaes
### Description of the library/tool
From the Readme:
l…
-
This is difficult enough to deserve its own issue, since some new parts need to be implemented.
In reference to issue #59 .
-
The population in cma.py -> update is assumed to be an iterable of objects that contain a .fitness attribute (line 130), but on line 158 .T is called on it, suggesting it is a numpy matrix.
This caus…
-