Hi,
I’m currently developing an Agent for my racing game.
When I started training on my very complex first level, the agent made 2/3 of the track in 24 hours learning.
So I thought that I should train the agent on simple tracks first (a straight track, a simple round track,…)
But how do I train a previous trained model on a different game level?
Is “- - resume” the right approach or is there another command for learning on different environments?
For example is this right after the training on a previous different level?
mlagents-learn - -run-id=“PreviousRunId” --resume
Or is this the wrong approach and I should train different tracks simultaneously with multiple agents?