high dimensional parametric search

[Agnes233]

high dimensional parametric search

[lerrytang]

CMA_ES does not work well with large parameter spaces due to the large memory needed by the covariance matrix.
Is your error memory related? Can you try other algos such as PGPE or ARS?

[lerrytang]

evojax does not put limitation on the number of learnable parameters, however your GPU memory is limited.
If you want to evolve a large number of parameters on a GPU with limited memory, reducing the population size will avoid memory errors at the cost of suboptimal solutions (well, they are all suboptimal, so more suboptimal)

[lerrytang]

Hi, thanks for the question.
In your case, you can simply specify param_size=1000000 and reshape the result from algo.ask() to $1000\times1000$.

[Agnes233]

Thank you for your answer. I have tried to call CMA_ES and set num_dims=1000000, an error would be reported: I don't know what I did wrong, looking forward to your reply!

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[Agnes233]

It works, thanks for your reply!
What is the maximum number of parameters that evojax can accept?