Staredit Network > Forums > SC1 Mapping Tools > Topic: ProTRG v1.1
ProTRG v1.1
Jan 10 2010, 11:13 pm
By: poiuy_qwert
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Jul 25 2010, 6:08 pm Cinolt Post #81



It makes some sense, and I've verified that it does what I want. I'm assuming that this initialization will only occur once, so I don't need to delete any members of the dcList. The only other minor issue with yours is that for multiple variable assignments it needs the number of variables passed to the function. So, essentially what I'm doing is checking every possible number of variables as so:
Code
timer, vhp, posX, posY = dcList[:0]
*program catches an error, loop again*
timer, vhp, posX, posY = dcList[:1]
*program catches an error, loop again*
timer, vhp, posX, posY = dcList[:2]
*program catches an error, loop again*
timer, vhp, posX, posY = dcList[:3]
*program catches an error, loop again*
timer, vhp, posX, posY = dcList[:4]
*program doesn't catch an error, so break out of the loop*


Therefore the process is made even more easier by not having to know the number of variables being assigned.



None.

Jun 9 2018, 1:12 am EsX_Raptor Post #82



The links are dead. Could someone please redirect me?



None.

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[01:28 pm]
NimoStar -- Unless specifically logged and retrained. But that wasn't in the original version. It just played itself
[01:28 pm]
NimoStar -- it has a static training, which is converted into weights. it doesn't actually learn from new games.
[01:16 pm]
NudeRaider -- but it would explain why that bot needs cheats to win
[01:05 pm]
NudeRaider -- Oh_Man
Oh_Man shouted: No training is very computational expensivr it doesnt train in real time tht culd actually be used against it
oh but alphastar training was *very* cpu intensive.
[12:16 pm]
Oh_Man -- inference vs backpropogation
[11:31 am]
Oh_Man -- No training is very computational expensivr it doesnt train in real time tht culd actually be used against it
[11:11 am]
NudeRaider -- Oh_Man
Oh_Man shouted: Hope that makes sense. Also artosiscast just dropped a 1 hour vid he analayses a bunch of its games. The TLDR is the maphack is responsible for a large percentage of its wins because its just hard countering zerg rushes
People keep mentioning it's a bot using reinforced self-learning (or w/e the correct term is) but I wonder, does it still actively learn now that it is deployed? How does that work? Or was it trained on like 100k games playing against itself and now training is finished and its capabilties are now static?
[09:53 am]
NimoStar -- ban the bot :))
[05:17 am]
Oh_Man -- Like it doesnt even bother to build a comsat unless it sees a lurker or dt, etc
[05:15 am]
Oh_Man -- Hope that makes sense. Also artosiscast just dropped a 1 hour vid he analayses a bunch of its games. The TLDR is the maphack is responsible for a large percentage of its wins because its just hard countering zerg rushes
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