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View Code? Open in Web Editor NEWAdaptive prior selection for repertoire based adaptation in robotics
Adaptive prior selection for repertoire based adaptation in robotics
Hi,
first of all, thanks for making public your work implementing map-elites with python. And there is no doubt this's an amazing experiment!
I tired your experiment and found some problems bothers me.
First,env_params.txt is missing in each of the data/hexapod_prior/ archives folders.If you can, maybe you can upload these.
so that i create env_params.txt by myself. It seems work. But If there is no leg damage,i generating the policy repertoires and run the experiment,what should i fill in blocked_legs?
I look forward to your reply and thank you very much!!!
Hi,
first of all, thanks for making public your work implementing map-elites with python.
I tried out your repository and found some things that needed to be changed in order to get the kuka repertoires to train and to visualize the kuka experiments:
Change absolute paths for relative paths (to work from the base directory) in lines:
env_params.txt
is missing in each of the data/kuka_pusher_prior/kuka_pusher_map_toy_n_friction_1/ archives folders. I believe this is caused by *.txt
being in the .gitignore
file
Recommended changes:
I have already made the changes mentioned above in my forked repository. If you are ok with it, I could create a pull request to yours.
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