trainNet Hydra port (?)

[vviggyy]

Testing out networks with ResNet reveals that we need to add an arg parse for encoder. Currently in trainNet.py the call to make_env doesn't accept an encoder at all.

Also it would make setup faster if certain combinations of arguments should be passed in (modularly) together:

--env='MiniWorld-LRoom-v0' \ --envPackage='miniworld_vae' \ --agent='MiniworldRandomAgent' \ --actenc='ContSpeedOnehotHDMiniworld'

(e.g. when needing to switch between minigrid and miniworld you'd need to change all four of these individually, but it would be nice to have presets for these...

... enter: hydra!

[vviggyy]

@dlevenstein let me know what you think

[dlevenstein]

good idea 👍

[dlevenstein]

just noting we'll also need to write/update tutorials for this :P