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an AI researcher's take on the ladder bot - Page 2

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evanthebouncy!
Profile Blog Joined June 2006
United States12804 Posts
2 hours ago
#21
On September 20 2026 02:17 PurpleWave wrote:
Good to see you here Evan. I don't know if you saw that I got Overmind running on modern BWAPI and playing on BASIL.

Some clarifications, some from the Pluto FAQ, some from chatting with the author, and some from watching hundreds of Pluto games.

Pluto was trained without map hacks and is designed to run without map hacks. It won the COG tournament easily without them. Only the cheater who is playing with Pluto is using a map hack.

It does not explicitly encode high level strategies but does have a Thompson-sampled strategy bandit. It was trained with rewards for following the selected build order (but is not forced to do so).

The model includes recurrent state to assist with long-term memory.

Pluto has generalized impressively well against out-of-distribution play. For the COG tournament I spent weeks trying to cheese it. I threw kitchen sink at it. Nothing stuck. Its unit handling is so good that it deflects attacks even with strategies that just die on paper.

It does have a few clear weaknesses, including ones which match your predictions. It has not learned to use Shuttles or Dropships. Human player G5 beat it with Reaver harassment. But Pluto is strong enough that it can often overcome this anyway; Paralyze failed to beat it even while doing significant damage.

It also has weak building placement, to the point that it is not competent at Forge/Gateway walls against Zerg, leading it to rely on one-base strategies (and be undertrained against two-base strategies). On the Zerg side it is still somehow strong at busting the walls that it is not trained against.

If you are thinking about doing any videos or other content about the topic I'm happy to collaborate.


I did know that overmind is used as a kind of baseline in starcraft AI scene yeah! and wow that's cool. It's quite something to know my sunken colony code survived still today aha :D

I think even the cheater's stolen version can be beat reliably by pros in due time, they just need some time to figure out.

That being said it'll be so fun to have a chat and watch the real pluto in action. And yeah we should do a video. I'll send you a dm
Life is run, it is dance, it is fast, passionate and BAM!, you dance and sing and booze while you can for now is the time and time is mine. Smile and laugh when still can for now is the time and soon you die!
evanthebouncy!
Profile Blog Joined June 2006
United States12804 Posts
2 hours ago
#22
On September 20 2026 05:00 Xeofreestyler wrote:
I do wonder if pure self play is the superior choice given the blind spots it has. I remember before AlphaZero was trained with pure self play they first trained AlphaGo on human games and then let it do self-play on top of that to achieve superhuman performance. Given how refined human strats in scbw are I wonder if it could be useful to do the same here.

I'm just wondering if it will ever learn shuttle+reaver or sair usage through self-play alone. I'm assuming pluto learns through small temperature changes so it might take along time for it to stumble upon such strats. So having some human examples might speed up its evolution.

Although admittedly it's hilarious to see it crush mech with m&m in TvT lol


I think alphaGo was initialized with human then later on with RL on top to improve. AlphaZero iirc was entirely from self play.

One issue I see with using human replay for stacraft is that, unlike go, human and AI basically play different games altogether where the AI will have perfect micro while humans do not. Consequently, a lot of human strategies (like muta harass or drops) are attention-attack strategies where you try to spend 1s of time to execute something which would cost the opponent 10s of seconds to resolve. These kind of attention-attack strategies won't work on AI as the pros have found out.

Yet you do need some build orders! I'm a bit skeptical if it'll randomly stumble upon shuttle/reaver or any given strategy, even with a higher temperature in sampling actions. I think higher strategy will just degrade performance rather than promoting diversity. The author said himself that strategies (build orders) had to be loosely guided from human created BOs.

I do think the next form of this bot is a traditional NN controller (as we have now in pluto) combined with a LLM commander that can issue high level commands. This LLM commander can just be any run of the mill LLM like claude or GPT, and humans can basically add some prompt to it for it to "figure out more of the game" so to speak. Ofc engineering such a system requires a lot of work, but I do expect a system like that to emerge in the next 2 years at most.
Life is run, it is dance, it is fast, passionate and BAM!, you dance and sing and booze while you can for now is the time and time is mine. Smile and laugh when still can for now is the time and soon you die!
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