Training exits before the while loop criteria is met about autonomous-driving-in-carla-using-deep-reinforcement-learning HOT 8 OPEN

I also have similar problem, the training process being stopped too frequently, while I'm using carla of version 0.9.14.

from autonomous-driving-in-carla-using-deep-reinforcement-learning.

I also have similar problem, the training process being stopped too frequently, while I'm using carla of version 0.9.14.

a simple solution is to make x_driver.py && environment.py sleep longer time, while decrease the efficiency.

from autonomous-driving-in-carla-using-deep-reinforcement-learning.

I also have similar problem, the training process being stopped too frequently, while I'm using carla of version 0.9.14.

a simple solution is to make x_driver.py && environment.py sleep longer time, while decrease the efficiency.

Can you explain details? Thank you

from autonomous-driving-in-carla-using-deep-reinforcement-learning.

I also have similar problem, the training process being stopped too frequently, while I'm using carla of version 0.9.14.

a simple solution is to make x_driver.py && environment.py sleep longer time, while decrease the efficiency.

Can you explain details? Thank you

Sorry for seeing this message so late. I have solved this problem, just ignore messages I mentioned before, the true solution is retraining the vae network, as this network might output nan value when using original network parameters.

from autonomous-driving-in-carla-using-deep-reinforcement-learning.

I also have similar problem, the training process being stopped too frequently, while I'm using carla of version 0.9.14.

a simple solution is to make x_driver.py && environment.py sleep longer time, while decrease the efficiency.

Can you explain details? Thank you

Sorry for seeing this message so late. I have solved this problem, just ignore messages I mentioned before, the true solution is retraining the vae network, as this network might output nan value when using original network parameters.

Hello, I have the same question, can you explain in detail? Thank you!

from autonomous-driving-in-carla-using-deep-reinforcement-learning.

I also have similar problem, the training process being stopped too frequently, while I'm using carla of version 0.9.14.

a simple solution is to make x_driver.py && environment.py sleep longer time, while decrease the efficiency.

Can you explain details? Thank you

Sorry for seeing this message so late. I have solved this problem, just ignore messages I mentioned before, the true solution is retraining the vae network, as this network might output nan value when using original network parameters.

Hello, I have the same question, can you explain in detail? Thank you!

simply use vae.py to retrain vae network, don't use the model parameters under autoencoder/model/current

from autonomous-driving-in-carla-using-deep-reinforcement-learning.

I also have similar problem, the training process being stopped too frequently, while I'm using carla of version 0.9.14.

a simple solution is to make x_driver.py && environment.py sleep longer time, while decrease the efficiency.

Can you explain details? Thank you

Sorry for seeing this message so late. I have solved this problem, just ignore messages I mentioned before, the true solution is retraining the vae network, as this network might output nan value when using original network parameters.

Hello, I have the same question, can you explain in detail? Thank you!

simply use vae.py to retrain vae network, don't use the model parameters under autoencoder/model/current

Thank you very much!

from autonomous-driving-in-carla-using-deep-reinforcement-learning.