That's too bad.
What you were working on looked really promising!

If something is lacking from BWAPI, you could either implement it on top of BWAPI or open a github issue.

Hey! Has there been any recent developments with your ANNs work?

Congratulations on the registered progress and on finding that nasty bug!
Do you think the approach would scale well to mixed unit type compositions, e.g. Hydralisks + Lurkers + Queens against Marines + Medics + Siege Tanks?

There is some progress! I can observe some intelligence emerging the units' behaviour

From what I've seen, there are bots that seem to handle micro (attacking units included) pretty well even when lan game latency is involved, so perhaps you should dig deeper in some open source bots' code

Cool! Keep us updated on how it goes next week

Regarding the noise while training, I would still re-introduce an idea that I mentioned in my first post on this topic: "perhaps it makes sense to only train the network once the whole battle has finished (or a timeout of Y frames has occurred) and for the fitness function then consider somethi...

Always converging towards [1, 1, 1...] sounds like the NNs might not be getting enough important data (hence a random action is considered as good as any other) or the training process is somehow broken... How about feeding it a bit more data like: 1. current unit HPs 2. the HPs of the enemy unit wi...

Hey! I have been interested in the same topic for a while (training ANNs to command the micro behaviour of individual units) and I like it how you've laid out the architecture and explanations of your approach so far. :) IMO, the current list of output actions that you make use of is sufficient. For...