Training stopping short about mindmaker HOT 8 OPEN

It would appear this might be a SocketIO issue in U5 Preview 1. See this thread.

from mindmaker.

Still working on this, as mentioned seems to be SocketIO issue

from mindmaker.

In case this isn't already known - this also affects UE4

from mindmaker.

Should be resolved in the latest release, was an issue with python SocketIO libraries needing to be updated, will post a new requirements.txt or one can download the latest release from marketplace https://unrealengine.com/marketplace/en-US/product/neurostudio-self-learning-ai
Please ensure the update works for you and close if so

from mindmaker.

So how would I best go about fixing this in an existing project?

from mindmaker.

I updated the MindMaker Plugin, however my Training still stops short.
Do I have to create a new project and migrate my content over maybe?

from mindmaker.

Update: I used the MindMaker Plugin to create a new project and migrated my project files over.
The issue still persists. However I did notice that the issue I was encountering only happened when using the PPO2 RL Algorithm.
When using it the training would stop at exactly 394 when using 500 Training Episodes and 906 when using 1000 Training Episodes to give some examples.
I went on to test all the different algorithms. Apart from DDPG which simply crashed the MindMaker executable and SAC which seems to require a different action space shape all the other algorithms worked as expected, producing actions up to the (for example) 500th Training Episode.

I hope this helps. If you need more information let me know.

from mindmaker.

from mindmaker.