Closed ConorZAM closed 5 years ago
You may use mlagents-learn with parameter --load to continue training and you might want to take a look at the curriculum learning guide in the docs folder of this project.
Hi @ConorZAM
We currently do not support training on-devices for running games.
Due to inactivity, I am closing this issue for now. Please feel free to re-open if you deem it necessary.
This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.
I am looking to combine a genetic algorithm with the RL implemented by ML agents.
I was wondering if you are (or will be) working on a way of initiating training in game? I would like to be able to create an agent, train it and evaluate it and then alter the agent over generations to simultaneously find optimal policy and topology for a given task.
If this isn't something you're looking at I'll get cracking, I just don't want to spend the time developing this only to see you release it anyway!
Thanks!