Staredit Network > Starcraft I Database > File: Particle Arena 1.3

Sunken Treasure
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Particle Arena 1.3
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Filename: Particle_Arena_1[1].3.scx
Filesize: 61.51KB

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File Information
General
Uploaded on:Mar 22 2008, 12:52 am
Uploaded by:SiberianTiger
Author:Not Given.
Downloads:348

Map-Data
Tileset:Badlands
Dimension:96x96

Forces
Players [P1 Req]
Human (Zerg)
Human (Zerg)
Human (Zerg)
Human (Zerg)
By StarmanJr.
Computer (Protoss)
Computer (Protoss)
Computer (Protoss)
Computer (Protoss)
Force 3
Force 4

Map-Statistics
Units:184
Triggers:427
Locations:53
Strings:896
File Description
(I did not make this)
Move aroudn with a drop ship, gathering interceptors (your missiles)

you can fire the interceptors to damage other drop ships by unloading units for individual players or this overall spread-out attack

and pick up power ups that give you shield, invincibility, more interceptors, etc.

All Images

Comments
payne wrote on Jan 5 2010, 1:23 am:
Thanks for setting it in the spotlight ^^

Cinolt wrote on Nov 15 2009, 8:29 am:
Very cool indeed; glad I took the time. However I think the first comment is a bit exaggerating, the one thing I don't like about it is how suicidal approaches usually are; there really is no way to prevent getting hit when you're at a certain distance that will sooner or later become inevitable.
After a while the person who wins is most likely the one who happened to get teamed up the least.

payne wrote on Mar 25 2008, 1:07 am:
Wow, that's so true! That game is addictive! :D
It really rocks and is truly simple!

SiberianTiger wrote on Mar 22 2008, 3:38 pm:
This is the best UMS in starcraft history. Until we get rid of the limitations of the current triggers in starcraft & get to starcraft 2, there will not be any UMS that will be as 1) tactically 2) graphically (special effects) 3) fairly (you can't do much to hack - no minerals required) as fun as this game.

[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
[05:14 am]
Oh_Man -- It's EMULATING the behaviour of a control group select and move without having the actual functionality to do that
[05:13 am]
Oh_Man -- Vrael
Vrael shouted: yeah but it looks like pluto's eAPM is still 6000 based on issuing all those orders
k the APM is inflated because it issues 12 identical orders individually. Its not 12 unique orders
[03:02 am]
Vrael -- which does reduce down to the same tradeoff I mentioned below, aka trading APM for time, but still interesting
[03:01 am]
Vrael -- and while the reaver was reloading it used that time to aggregate enough marine/tank to fend it off
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