Staredit Network > Starcraft I Database > File: Type-Moon Arena vR99b

Sunken Treasure
(Reload)
Type-Moon Arena vR99b
Download
Filename: type_moon_arena_[vr99b]E1.scx
Filesize: 186.82KB

Thumbnail

Rating
Not enough votes.
Log in to rate

File Information
General
Uploaded on:Aug 12 2010, 4:15 pm
Uploaded by:Zhuinden
Author:Not Given.
Downloads:338

Map-Data
Tileset:Jungle
Dimension:192x256

Forces
¡ØTeam White
Human (Protoss)
Human (Protoss)
Human (Protoss)
¡ØTeam Black
Human (Terran)
Human (Terran)
Human (Terran)
Made by FateSN)Saber [Eng1]
Computer (Protoss)
Chan : Ch-tma [Brain] (NoSnd)
Computer (Terran)

Map-Statistics
Units:443
Triggers:1074
Locations:254
Strings:306
File Description
This is an arena map. Elements of DotA, Temple Siege and CHW. Mostly translated (except for some game messages).

All Images

Comments
Liberty-Prime wrote on Aug 13 2010, 7:08 pm:
More like Temple Siege and CHW have elements of this game, this is older.

[02:55 pm]
Oh_Man -- another arty stream
[02:49 pm]
Oh_Man -- it doesnt need maphack. the person who stole it and is using it on the ladder is using it with maphack. all its training was done with normal fog of war
[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?
Please log in to shout.


Members Online: Oh_Man, Zoan