TYJUN1201 / Minesweeper_DoubleDQN

Using Double Deep Q-Network to learn to play Minesweeper game

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Using Double Deep Q-Network to learn to play Minesweeper game.

This project is based on the Minesweeper-DDQN implementation from AlexMGitHub's Minesweeper-DDQN repository.

Original Minesweeper-DDQN Code

The code for the Minesweeper-DDQN project was originally created by AlexMGitHub and is available under the MIT License. We have used and incorporated their code into our project.

License

The original Minesweeper-DDQN code is available under the MIT License, which allows us to use, copy, modify, merge, publish, distribute, sublicense, and sell the code under certain conditions. Please refer to the license file for detailed information.

Modifications

We have made the following modifications to the original code:

  • Modifying existing algorithms to implement Deep Q-Network.
  • Changing neural network parameters for training in simpler environments.

Contact

If you have any questions or concerns about our use of the original code, please feel free to reach out to us.


This project is not affiliated with or endorsed by AlexMGitHub or the Minesweeper-DDQN project.

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Using Double Deep Q-Network to learn to play Minesweeper game


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