My attempt at DeepMind’s baseline architecture for playing Starcraft : https://github.com/Inoryy/pysc2-rl-agent

I’m not the first to do this, but my is a bit different in the sense that I’ve tried to implement it as cleanly and as closely to DM’s description as possible.
This includes supporting on almost full feature list, 1×1 conv embeddings for spatial categorical features, and proper policy implementation, with all actions and their variable arguments. My implementation is also flexible as far as features/actions go, supporting configs via external json file.

I think I’m also the first to tackle the harder maps, even if only with partial .

You can see a demo of my agent on all minigames here: https://youtu.be/QdeObwCCxFI
(if you’re confused why it doesn’t look like Starcraft II: I’m running on Linux where they support simplified UI via Pygame).



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( https://www.reddit.com/r//comments/83lays/p__agent_for_starcraft_ii_minigames_via_pysc2/)

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