Comments (2)
I started approaching it simply by giving up on continuous poetry updates, as I was facing consistent failures. Since the Python Carla library didn't have version 0.9.8 available, I upgraded to version 0.9.14 first. I also realized that the issue could be resolved by adjusting the Torch version since I was using an RTX 3070 GPU. I'm not sure why I'm using poetry as a dependency manager. If possible, I would like to hear the reason behind it.
from autonomous-driving-in-carla-using-deep-reinforcement-learning.
Hi, I'd ask you to run the code on windows since it was written on windows. I'm unsure what error you're getting. I do not have much experience on linux either to help you resolve the issue unfortunately.
Moreover, I'd ask you to use a different dependency manager/env manager like anaconda
or miniconda
to help resolve this issue. You can find the requirements.txt
file in the root of the repository to know which dependencies you need to install. Thanks
from autonomous-driving-in-carla-using-deep-reinforcement-learning.
Related Issues (20)
- Training does not work properly and agent does not beyond first traffic light in TOWN02 HOT 4
- There may be some errors in your code HOT 1
- Couldn't import Carla egg properly HOT 1
- The console works, but the client displays a faulty screen!
- Encoder could not be initialized. HOT 3
- checkpoint is not optimal
- Hardwares HOT 2
- Encoder could not be initialized HOT 2
- Messed up video in pygame HOT 1
- Training exits before the while loop criteria is met HOT 8
- You MPDF seems like the same as two single PDF ?
- pygame.error: Unable to make GL context current HOT 1
- Description issues
- Not able to run discrete or continous file
- How long training takes? HOT 3
- ValueError: Expected parameter loc (Tensor of shape (10516, 2)) of distribution MultivariateNormal(loc: torch.Size([10516, 2]), covariance_matrix: torch.Size([10516, 2, 2])) to satisfy the constraint IndependentConstraint(Real(), 1), but found invalid values: tensor([[nan, nan], [nan, nan], [nan, nan], ..., [nan, nan], [nan, nan], [nan, nan]], grad_fn=<ExpandBackward0>) HOT 2
- Why can't agents train using gpu? HOT 1
- pygame show HOT 1
- bug HOT 3
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