Comments (5)
Can you try commenting out the pathelf line in environment.yml?
from softlearning.
Thanks - This gets me past the patchelf error.
Now I'm getting a numpy-related error.
I'm wondering, what kind of system is this repo generally used on (I'm using a mac book pro)?
from softlearning.
We're mostly running things on ubuntu, but apart from the patchelf issue, things should work on osx as well. What's the error you're getting from numpy? Are you installing with conda?
from softlearning.
The numpy error was related to my bash aliases.
And the limit.h header missing issue was resolved as described here:
#33
from softlearning.
@Bohan-Zhang added a comment for the patchelf line in environment.yml (e21db53#diff-b7cb75ca59993a879e29bed8cd8469b8R9). Hopefully that makes things a bit clearer.
from softlearning.
Related Issues (20)
- SAC gradients weighted inconsistently
- Question on the soft q learning implementation HOT 1
- Question on initialization of alpha and entropy HOT 7
- Not use GPU failed call to cuInit: CUDA_ERROR_NO_DEVICE HOT 4
- `dm_control` `cheetah` `run` training stops suddenly HOT 3
- error when running example
- How can I generate eval/test output video of dm_control tasks?
- No rendering/headless mode available?
- No module named 'example.instruments' HOT 2
- target_entropy discrete_space HOT 2
- Implementation of automatic entropy temperature tuning(alpha loss) HOT 6
- SQL algorithm is not working HOT 1
- MultiGoal Env not working, please give instruction. HOT 6
- Error on installing with docker HOT 1
- Incompatible with ray 1.2.0 HOT 1
- Incompatible with tensorflow 2.4.0 HOT 1
- Differences between softlearning implementation and formula 18 in paper of alpha loss
- using deterministic policy in enviroment like lunarlander?
- why target entropy is -dim(A)?
- The issue of softlearning implementation HOT 1
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from softlearning.