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bawjensen/COMP-499-IndependentResearch

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General Notes

Making a neural network setup that can play 2048 well (or at least as well as a semi-skilled human).

Goals

  • (^ above)

Tweaking Parameters:

  • Generations
  • Nets
  • Games
  • Hidden Size
  • Survivor Choice Method
  • Mutation Rate (random boolean to determine whether or not to mutate)
  • Mutation Method (different distributions, different std dev's)
  • Random insertion of newcomers (yes/no, possibly how many/how often)
  • Cross-mutation (two parents instead of the current one)
  • Depth of game tree

About

Wheaton MA's COMP-499: Independent Research course, specialized in Artificial Neural Networks.

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