Skip to content
HomeVideos
AllLongsCategoriesPlaylists
BooksBlogsPodcasts
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K

    Automaton 2000 Micro - Marine Split Battle vs IMMvp

    Automaton2000Micro

    4 HN mentions · mentioned in 4 months, 2016–2018

    YouTube

    1:23 · 757K views · Apr 3, 2011

    A short demo of Automaton 2000 Micro, a StarCraft bot built in Blizzard's World Editor that splits marines perfectly against banelings. It shows inhuman unit micromanagement with zero losses.

    Cited in StarCraft AI threads to show how much perfect micro matters, though one commenter finds such play boring.

    Games & Game DevelopmentChess, board games & puzzlesGaming culture & analysis
    1. 2:09
      Automaton 2000 Micro - Dodging Siege TanksAutomaton2000Micro1.2M views • 15 years ago
    2. 11:17
      [Highlight] StarCraft Remastered RantDay9TV453K views • 9 years ago
    3. 33:49
      Google's DeepMind AI vs StarCraft 2 World Champion - Game 1ArtosisTV485K views • 6 years ago
    4. 25:22
      The Fastest Maze-Solving Competition On EarthVeritasium25M views • 3 years ago
    5. 1:04:04
      Overwatch Gameplay Architecture and NetcodeGDC Festival of Gaming196K views • 7 years ago
    6. 7:48
      MICRO DRONES KILLER ARMS ROBOTS - AUTONOMOUS ARTIFICIAL INTELLIGENCE - WARNING !!CS Consulting2.3M views • 8 years ago
    7. 22:54
      I Built a COMPUTER in Magic: The GatheringBecause Science2M views • 7 years ago
    8. 16:18
      Computer program that learns to play classic NES gamessuckerpinch2.2M views • 13 years ago
    9. 1:05:25
      Robocalypse Now: Using Deep Learning to Combat Cheating in Counter-Strike: Global OffensiveGDC Festival of Gaming35K views • 6 years ago
    10. 5:58
      MarI/O - Machine Learning for Video GamesSethBling12M views • 11 years ago
    11. 1:11
      Infinite Mario AI - Long LevelRobin Baumgarten1.3M views • 17 years ago
    12. 1:13:51
      Handmade Hero Day 001 - Setting Up the Windows BuildMolly Rocket465K views • 11 years ago
    13. 15:37
      Alpha Zero's "Immortal Zugzwang Game" against Stockfishagadmator's Chess Channel1.7M views • 8 years ago
    14. 7:48
      SlaughterbotsStop Autonomous Weapons3.9M views • 8 years ago
    15. 1:25
      Armok InvadersBaronWable57K views • 10 years ago
    16. 23:06
      Bob Nystrom - Is There More to Game Architecture than ECS?Roguelike Celebration301K views • 8 years ago
    17. 42:36
      30 Weird Chess Algorithms: Elo Worldsuckerpinch965K views • 7 years ago
    18. 7:09
      This Arcade Game is a SCAM (I have proof)Mark Rober51M views • 8 years ago
    19. 7:59
      Sci-Fi Short Film “Slaughterbots” | DUSTDUST2.2M views • 7 years ago
    20. 13:23
      FP POV of Sound - Fast APM style (showing monitor, mouse and keyboard)Khaldor3.4M views • 13 years ago

    4 comments from Hacker News

    1. @nickpsecurityNov 2016· in “Show HN: DeepRhyme (D-Prime) – Generating dope rhymes with machine learning”

      It's possible but it's a lot more context-driven than you think with a human involved. The bots do great against each other with their strategies and muscle-memory stuff. Throw a human in the mix, they start noticing patterns in how the units are managed, what strategies are likely, etc. They've exploited these in the competitions to hilarious effect. Here's the main site on prior work & results at the competitions: [LINK] Here's a few examples of how the muscle-memory approach, esp if focused on unit vs unit, can fail against humans. " In this example, Bakuryu (human) notices that Skynet's units will chase his zerglings if they are near, and proceeds to run around Skynet's base to distract Skynet long enough so that Bakuryu can make fying units to come attack Skynet's base. This type of behaviour is incredibly hard to detect in a bot, since it requires knowledge of the larger context of the game which may only have consequences 5 or more minutes in the future. " (2013) Note: At this point, they also sucked at building and expansion strategies which surprised me since I thought a basic planner would be able to do that. The constraints between rate of expansion, where to place stuff, what units to keep/build, and so on get really hard. The other thing they weren't good at was switching strategies mid-game based on what opponents are doing. " despite Djem5 (pro) making the bots look silly this year... they were able to defeat D-ranked, and even some C-ranked players. After the

      CitesView on HN
    2. @MonoryMar 2016· in “DeepMind Challenges for StarCraft”

      Well, anyone who says that advantage in micromanagement is not a big thing should see "Automaton 2000" videos. Given that automaton is a map script and thus can have virtually unlimited APM, it beats people from a horribly disadvantageous positions (40 banelings vs 21 marine [1], or 100 zerglings vs 20 sieged tanks [2]). [1]: this video [2]: [LINK]

      CitesView on HN
    3. @AmericanChopperApr 2018· in “StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer”

      A 'perfectly' micro-ing AI is both boring to implement and boring to play against. Somebody made one for SC2 back when that was popular, take a look at these videos to see how uninteresting it would become after the first attempt. [LINK] [LINK] this video

      CriticalView on HN
    4. @pkfrankSep 2016· in “Deep Reinforcement Learning to Play StarCraft”

      Wow, I hadn't seen this before. Here is "Automaton 2000" controlling 20 marines vs 40 banelings, without losing a single unit. this video Pretty cool.

      CitesView on HN