bangBangML

AI

neural network demo

SHOW HN2020

60points
21comments
#980of 3,028 in 2020
Top 33%of 2020 by points

How HN took it

DebatedReal support and real criticism

4 positive, 2 neutral or asking, 0 mixed, 5 critical, out of 11 comments about the project. Thread score -0.23.

Idea: 1 for, 4 againstExecution: 1 for, 0 againstPerformance: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Fun project and useful for beginners to build intuition

    From 1 comment
    • Not unlike most neural network solutions :-P But hey, this seems to be a fun project more than anything else. And working in such low-dimensional spaces with an obvious…
      ssivark on HN
  • Encouragement to finish and ship the idea

    From 2 comments
    • Never just an idea. Remove the "just". It is a realised idea and it was important that you execute the idea and, to whatever useful extent, finish it. Don't allow that negative…
      rs23296008n1 on HN
    • On point! So much harder to execute and create something real and tangible than pontificate.
      stanfordkid on HN

Objections

  • Overengineered for the problem

    From 1 comment
    • Am I the only one who thinks this is a little overengineered?
      eerrt on HN
  • Not really self taught since the environment provides feedback and the rule is hard-coded

    From 2 comments
    • The environment is the training data and you are forcing the NN to hit the target. It isn't self taught. No.
      Nychtelios on HN
    • It doesn't look like totally self taught though "If the shot was to the left of the target, adjust the weights to the right and vice and versa. On this step I'm not saving the…
      bluesign on HN
  • Equivalent to a simple PID controller or polynomial fit

    From 2 comments
    • If it's done like that isn't it just an overly complex, not very good PID controller (with one or more of those letters missing)?
      p1necone on HN
    • So you learnt a polynomial of order 2. Great job, I'm quite scared of the killer robots now.
      mam2 on HN

Requests

  • Add wind strength and direction as in Worms

    From 1 comment
    • yeah, I'm thinking about stealing wind strength and direction from the Worms game
      atum47 on HN
  • Reference wind physics from Gorillas and Gunbound

    From 2 comments
    • Remember Gorillas from the QBasic language? That had wind speed and direction. Perhaps helpful. https://github.com/GorillaStack/gorillas/blob/master/gorillas.bas
      verst on HN
    • Gunbound was extremely complex with all kinds of variables including boomerang style projectiles.
      goldenkey on HN

Questions

  • Will the network learn to aim at target edges?

    From 1 comment
    • I wonder if it will teach itself to aim at the edges of the target zone, given that's where the "adjust to the right and vice versa" method will end up landing shots.
      thomasfedb on HN
  • Is the Dejavu.js module from another project?

    From 1 comment
    • I'm curious about the title of the module 'Dejavu.js'. Is it from another project?
      reubens on HN

Alternatives named

  • Gorillas (QBasic game with wind)

    From 1 comment
    • Remember Gorillas from the QBasic language? That had wind speed and direction. Perhaps helpful. https://github.com/GorillaStack/gorillas/blob/master/gorillas.bas
      verst on HN
  • Gunbound

    From 1 comment
    • Gunbound was extremely complex with all kinds of variables including boomerang style projectiles.
      goldenkey on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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