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Find a path to the end in the maze using Noisy Deep Q networks.

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DQN Maze

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The topology of the NoisyNet.

model

In hidden layers is used ReLU activation function and linear activation function is used in the output layer.

States

26 inputs = 2 position + 24 objects around agent

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Run

python3 main.py

License

MIT