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A custom maze environment given to a reinforcement learning model to find optimal paths.

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Maze-RL

A custom maze environment given to a Reinforcement Learning Model to find optimal paths through Q learning with Cross-entropy method.

You can open the files using jupyter notebook

You can change the Matrix in 'maze_env.ipynb' file and run the 'reinforcement learning.ipynb' to see the model converging to the optimal path from the graphs displayed.

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A custom maze environment given to a reinforcement learning model to find optimal paths.

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