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I am trying to run multi_head baselines on synthetic functions (for ex vlmop1). I haven't configured EvoXbench or MujoCO for now. But when I call bash scripts/multi_head.sh or the direct python command, it always tries to configure EvoXbench and throws an error that a module is missing. I was wondering if the data related to EvoXbench has to be downloaded and configured in order to run on synthetic functions as well. Or is there a simple way to install and configure such that I can run only on synthetic benchmark.
Any help would be great!
The text was updated successfully, but these errors were encountered:
Thank you for your attention to our work! I have checked our implementation and reproduced your issue. An error would be raised since we directly import off_moo_bench.mo_nas in our implementation.
I have added some conditional checks in our code, which refers to #12. Now I can successfully run the algorithms (for example, run bash scripts/multi_head.sh directly).
If you have any questions, feel free to contact us!
Thank you for the great paper and repo.
I am trying to run
multi_head
baselines on synthetic functions (for exvlmop1
). I haven't configured EvoXbench or MujoCO for now. But when I callbash scripts/multi_head.sh
or the direct python command, it always tries to configure EvoXbench and throws an error that a module is missing. I was wondering if the data related to EvoXbench has to be downloaded and configured in order to run on synthetic functions as well. Or is there a simple way to install and configure such that I can run only on synthetic benchmark.Any help would be great!
The text was updated successfully, but these errors were encountered: