Open mattgallivan opened 2 years ago
It would appear this might be a SocketIO issue in U5 Preview 1. See this thread.
Still working on this, as mentioned seems to be SocketIO issue
In case this isn't already known - this also affects UE4
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
So how would I best go about fixing this in an existing project?
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?
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.
Thanks for this feedback, will look into why some of these algorithms are working differently than others, its probably not something to do with the SOCKETIO changes since that would be affecting all algorithms equally. If you see any specific error codes when it stopping , let me know. Where you using Mindmaker with UE 4 or UE 5?
On Wed, May 11, 2022 at 12:31 PM Florian Dittrich @.***> wrote:
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.
— Reply to this email directly, view it on GitHub https://github.com/krumiaa/MindMaker/issues/15#issuecomment-1123996119, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABI6N2JGIPZ4CNYDFTMTLADVJPOHRANCNFSM5PY6O4GA . You are receiving this because you commented.Message ID: @.***>
I'm trying to run my training for 10k iterations (and that is set in "Trainepisodes" in the structure) but the training seems to stop short at ~391. Is there any reason it might quit early?