The following game modes are using an AI:
- Custom Games like 1on1 or 4on4 versus the AI
AlphaStar is the first AI to reach the top league of a widely popular esport without any game restrictions. This January, a preliminary version of AlphaStar defeated two of the world's top players in StarCraft II, one of the most enduring and popular real-time strategy video games of all time. CommandCenter: AI Bot for Broodwar and Starcraft II. CommandCenter is a StarCraft AI bot that can play both StarCraft: Broodwar and StarCraft 2. CommandCenter is written in C using BWAPI and Blizzard's StarCraft II AI API. It provides many wrapper functions around both APIs that allow it to perform the same functionality in both games via the. 'starcraft 2' starcraft star craft 'star craft' 'star craft 2' 'starcraft ii' 'heart of the swarm' starcraft2 sc2 'sc 2' download cheats 'starcraft 2 cheats' guide tutorial update replays replay.
The sc2 AI knows all the starting positions (just as you do) but it does have to explore them. You can often see the AI sending scouts to check all start locations, and as the game progresses they scout all possible base locations repeatedly. – Jack B Nimble Aug 18 '10 at 16:44. This tool allows you to Play Starcraft 2 Offline Learn how to use this latest version of SC2Allin1 v11.2.11 Beta 8 + AI Let's go straight to the download links: Download StarCraft 2 Heart of the Swarm BetaDownload SC2Allin1 v11.2.11 Beta 8 + AIDownload Starcraft 2 Map Packs (optional)Download.NET Framework 4 (required for the program to work correctly).
Quite often I'm practicing my build orders vs an AI and it sucks to wait for 10 seconds until the game starts, since I'm the only human player in the Lobby. This hurts especially when you make some mistakes in your build order and want to restart the game quickly.
and so on.
- 1Blizzard-AI
- 2Green Tea AI (GTAI)
Blizzard-AI[edit]
The Blizzard-AI will often not play as a human would. E.g. one can set the AI to 'Elite' and let it play a Baneling Bust. The AI does not Micro very good, therefore it does not play this strategy successfully.
This post has been deleted on the Battle.net, but it is still available on web.archive.org.
Within a team the AI tells you, what its current strat is. E.g. Terran says (Raynor's voice: 'I am taking an expansion.' It marks the spot on the minimap, where it will expand.
Difficulty[edit]
- Very Easy
- Easy
- Medium
- Hard
- Harder
- Very Hard
- Elite
- Cheater 1 (Vision)
- Cheater 2 (Resources)
- Cheater 3 (Insane)
Terran[edit]
- Any Build
- Full Rush
- Timing Attack
- Aggressive Push
- Economic Focus
- Straight to air
- Marine Stim
- Hellion Maurader
- Cloaked Banshees
- MMM
Zerg[edit]
- Any Build
- Full Rush
- Timing Attack
- Aggressive Push
- Economic Focus
- Straight to air
- baneling bust timing
- ling roach timing
- roach rush timing
- Mutalisk (aggressive)
- muta ling aggressive
- roach attack aggressive
- roach hydra aggressive
Protoss[edit]
- Any Build
- Full Rush
- Timing Attack
- Aggressive Push
- Economic Focus
- Straight to air
- 4gate timing
- stalker robo timing
- blink stalker timing
- 7gate rush timing
- archon immortal aggressive
- colossus aggressive
- gateway air aggressive
- voidray phoenix aggressive
- gateway air economic
- gateway immortal economic
- colossus economic
Green Tea AI (GTAI)[edit]
The Green Tea AI (GTAI) was created by ptanhkhoa in 2010. It has been updated ever since. The last version (LotV) is available right here in Liquipedia (powered by NeoBlade).
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GTAI is an AI Script that improve the difficulty of StarCraft 2 AI. It will use many strategies that keep player guessing what to do and force him to scout. More over, it can control units like a good player. It will try to keep the units alive using Micro.
The GTAI will play Cheese like Ling Flood, but it sometimes expands very aggressivly building three CC in under 4 minutes.
Create a map with the GTAI[edit]
- Open a Custom Game
- Choose a map using the search or your bookmarks
- Search for 'GTAI'
- You will find Mod 'Green Tea AI (GTAI)'
JaKaTaK explains how to use an Extension Mod in the video below.
Though it is explained for the another Mod (SALT).
Difficulty (GTAI)[edit]
All level will display the 'Commander's Name' at 20 seconds. E.g. the commander 'Punisher' plays mass Zerglings and Mutalisks. GTAI plays a randomly chosen BO, if the difficulty is below 'Elite'.
- Very Easy
- This difficulty level is similar to a 'Harder' Blizzard-AI. It will not attack for about 10 minutes.
- Easy
- GTAI will not cheat with Minerals. It scouts and will attack if the AV (Army Value) is in favor to the AI.
- Medium
- Like 'Easy', but it will take a quicker expansion and try to take the Watchtowers.
- Hard
- GTAI will cheat with Minerals, but only a little. It will attack more aggressivly and try to harass the opponent.
- Harder
- GTAI will cheat with Minerals and get a 20% income boost over time. It will play Drops and harass the opponent very often.
- Very Hard
- Like 'Harder', but with it will get a 30% income boost over time.
- Elite
- Elite and all levels of 'Cheater-AI' GTAI will use the same BO.
- Cheater 1 (Vision)
- GTAI will cheat with Minerals.
- Cheater 2 (Resources)
- GTAI will cheat with Minerals.
- Cheater 3 (Insane)
- GTAI will cheat with Minerals.
Curious as we can be, we just love to test AIs by making them play games.
This time, researchers from Chinese technology giant Tencent have developed a pair of AI agents capable of defeating StarCraft II’s (SC2) AI on the highest difficulty levels in full matches. This makes the company the first to do so.
In a published white paper, the researchers explained the creation of the two agents, named TSTARBOT1 and TSTARBOT2.
The first agent acts as a macro-level controller that oversees several specific algorithms designed to handle lower level functions. The second agent, the TSTARBOT2, is a more robust agent. The macro-micro controller consists of several modules capable of handling entire facets of the gameplay independently.
The agents were trained by playing a 1 on 1 game, both using the Zerg race. The training used the Abyssal Reef, a map known to have thwarted neural network AIs from winning against SC2's built-in AIs. But in just a couple of days training, the TSTARBOTS were able to defeat the traditional AI opponent on the hardest setting.
Experts in the AI field have numerous agents to play numerous games. From AI playing Doom game, AI in playing Unreal Tournament 2004, AI in playing Quake III Arena, to OpenAI's AI in defeating world's best Dota 2 player and Google in defeating the world's best Go player to name a few.
But unlike the game of Go or Chess where all pieces are laid on the table in plain sight (allowing AIs to craft and anticipate in advance), StarCraft II is a real-time strategy game in which the players should do careful planning in both managing resources, defending and attacking.
Tencent's AI played SC2 with the 'fog-of-war' turned on. What this means, the AI can’t see the enemy AI's units and base, until it scouted the map.
So here, the TSTARBOT were designed to imitate the human thought process, with a lot of information needed to be processed by the agents.
Interestingly, Tencent trained the agents using only a single CPU. But to accommodate the lack of resources, the company used a huge amount of processors to process the amount of data needed to train the bots on billions of frames of videos.
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But this gave an advantage of being efficient, as the researchers explained:
'We currently take 1920 parallel actors (with 3840 CPUs across 80 machines) to generate the replay transitions, at the speed of about 16,000 frames per second. This significantly reduces the training time (from weeks to days), and also improves the learning stability thanks to the increased diversity of the explored trajectories.'
One major difficulty the researchers needed to tackle, was SC2's three highest difficulty levels featuring 'AI' that cheats. For example, in the highest difficult setting (level 10), the computer knows in advance where the resources are, as if there isn't any fog-of-war. The AI can see all units on the map, giving it an unfair advantage.
Tencent's AI plays like regular humans, meaning it doesn't have any advantage: it plays the game using methods similar to a mouse click and macros, and plays exactly the same thing as a human player would. The AI sees the game by interpreting video output in a frame-to-frame basis, and translate the information into data it can work with.
So clearly here, Tencent's AI has a huge disadvantage when playing against SC2's AI.
Tencent managed to win because the two agents were trained using high-level commander paradigm Tencent developed. This specifically keeps track on the overall strategy depending on middle and low-level algorithms for unit-level management. As a result, the AI could play in manners similar to a experienced SC2 human player, rather than a computer opponent.
After playing 100 games with different random seeds, where a tie is counted as 0.5 when calculating the win-rate. 'We can see that the agent is able to consistently defeat built-in AIs in all levels, showing the effectiveness of the hierarchical action modeling,' said the researchers.
Tencent's AI dominated the game, with wins over 90 percent of the time.
Related:200 Years Of Training: How DeepMind's AlphaStar AI Mastered StarCraft II