My published benchmark for a Kaggle Simulations Competition

Related tags

Deep Learning kaggle artificial-intelligence
Overview

Lux AI Working Title Bot

Please refer to the Kaggle notebook for the comment section. The comment section contains my explanation on my code structure and logic.

This README will explain how to use this repository.

Setup

Run ./setup.sh to install the required components.

Make submission files

Run ./make_submit.sh to generate the following files

  • The zipfile submission.tar.gz which can be submitted to Kaggle directly.
  • The notebook submission notebook_generated.ipynb. You can upload this notebook into a fork of my notebook and submit.

Running a Game

You can run a game with notebook_test.ipynb

game-rerun-screenshot

You may define the width and height of the board, as well as the seed. Annotations are shown on the board.

This code snippet is also run in the generated notebook.

Analysing Game State and Missions

You may run the game logic on a specific turn with notebook_debug.ipynb to understand why the agent made a certain decision.

debug-screenshot

When the run is made with notebook_test.ipynb, the game state, and missions are saved as Python pickle files. You may load the Python pickle file and run the game logic to produce the actions and updated missions.

As the game logic is run, it prints the new mission planned, the actions made include the annotation.

You can modify the code and see how the agent reacts different for the same game state and missions. This allows you iteratively improve the agent more quicking.

This code snippet is also run in the generated notebook.

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Comments
  • Maybe a bug.

    Maybe a bug.

    https://github.com/tonghuikang/lux-ai-2021/blob/86d06bb0ae799bd66f732052597fd67d2d91cbf0/lux/game.py#L447

    When reading your sharing code for lux-ai-2021, I found there may be a bug.

    In file game.py , the function calculate_distance_matrix() near line 447, I think it should be:

    x_distance_from_edge = min(x, self.map_width-x-1)

    Since we are calculating the distance from edge here, that's to say we need y-to-edge and x-to-edge.

    Maybe I am wrong and not get the key point.
    And thanks for your sharing : )

    opened by floudk 2
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Tong Hui Kang
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