Training versus a pretrained Brain

Of course, self-play already covers this during the training, however, I would love to be able to reuse a trained brain to pit a variety of new setups against each other - creating a basic ai to compete against for updated or specialized agents (that have different abilities for example, or learn with different rewards, etc.)

So far, I have tested the trained models by adding them to the Behavior Parameters under the model - adding them there and starting a new training will however train a new brain as far as i know.
Having a different gameobject with the same setup, would still be subject to that training, hence, seeing I wasn't able to find a parameter to be given to the --train command that would allow to only train a certain brain / behavior depending on its name or so, I wondered if there is any way to achieve this at all - is there for example a component that only plays the brain but doesn't train them?

Thanks a lot for your time and replies!

 

Ah, thanks, seems like i misunderstood the inference option to train if connected to a trainer.
- oddly, if i keep one of the self-play agents set to inference only and another to train anew (default), the model of the training agent seems to update to the interference agent brain's behavior quite rapidly, which i deemed it not working earlier - I'll get to the bottom of it, i guess

thanks again, greetings,
seph