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Wumpus-world-naive-beeline-probablistic-DQNN-agent

Core Stats/ML/DL libraries: Pomagranate, TensorFlow.

This repo isn't organized into sub packages. Instead, it's best to download the files together in a single directory and use the ipynb to simulate training without renaming any of .py module files.

  1. Simple nested loop application of a naive wumpus world agent developed from scratch

  2. Simple nested loop application of a naive wumpus world agent + shortest return path developed from scratch

  3. OOP+bayesian network application of probabilistic reasoning agent developed form scratch

  4. Enahncements to the deep reinforcement Q-learning agent in Zai and Brown

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