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Current ToDos

  • finish agent code:

    • set up NN, play around with the layers, the ones from the tutorial might not be the best X
    • handle caching, function to sample cache X
    • how to handle checkpoints X -> PPO fallback implementation
  • features:

    • implement wayfinding (a_star) X
    • moving kernels? (window_method) X
    • cluster coins? (idw_map) X
    • how to handle players with diffrent amount of points (maybe target players with higher points?)
    • killing an opponent
    • less features is a better idea (better idea) X -> calculating feature importance (random forest) --> droping a feature from a certain of predictors --> some paper or resource

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  • Python 81.2%
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