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Hi,
Great work on the toolkit!
I encountered a problem while employing the CMA-ES algorithm. Specifically, one parameter had a standard deviation of approximately `1e-6`, resulting in a varianc…
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Congratulations, qdo_yahpo and yahpo_gym are excellent projects.
I am very impressed with the level of parallelization achieved.
Parallelization can be implemented at the level of fitness evalua…
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Hello,
Thank you for your great work!
I was wondering if the calibration and optimization approaches as well as your LSTM model used in the study are available somewhere. This repo is for the tran…
fremk updated
5 months ago
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Does any of the currently available algorithms support multi-objective problems?
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Policy Search
- [ ] [PI2](http://proceedings.mlr.press/v9/theodorou10a/theodorou10a.pdf), is already implemented #28
- [ ] [PoWER](http://www.ias.informatik.tu-darmstadt.de/publications/peters_ADPR…
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Modular CMA is packaged and should be easy to integrate in Nevergrad.
Example of usage of "modcma" below:
import random
import numpy as np
from modcma import AskTellCMAES
DIMENSION = 10
…
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Dear Organizers of COCO,
I would like to submit the benchmarking results of three optimizers (DE-NO-r1-B, DE-j-r2-B, and DE-CoBi-r1-L) on the bbob-mixint suite. Could you please upload them to the …
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This would fill in the role of the mutator:
https://github.com/tomLamprecht/Easy-ML-For-Java/blob/master/src/main/java/de/fhws/ai/networktrainer/NNRandomMutator.java
Reference: https://en.wikipe…
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I would like to evaluate all the candidate solutions at once (e.g., in order to coevolve them). Is that possible with the Python API?
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https://github.com/CMA-ES/libcmaes/blob/bf994354c072e58f3125014a40029ee65cd7e00d/src/bipopcmastrategy.cc#L122
Should not the value sampled from uniform distribution be squared as suggested in:
htt…