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This repository contains code that has been created as part of article titled "Utilizing scalable reinforcement learning model training teqniques in the game of Battleship" written by Paweł Biegun under the guidance of Sławomir Herma, PhD.

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battleship-CNN

This repository contains code that has been created as part of article titled "Utilizing scalable reinforcement learning model training teqniques in the game of Battleship"

Using the code locally

In order to replicate the results of the research artile you should clone this repository and start the jupyter notebook. A GPU with apropriate drivers and libraries configured locally is reqired. An installation of Python 3 with the libraries listed in the imports section is required as well. Configuration of this envioremnet locally can be cumbersome, If it's not already configured using the enviorenemt provided by Kaggle or Google Collaboratory is advised. Both of these services provide the required hardware capabilities free of charge.

Using the code on kaggle

Using the code on in the enviorenement provided by Kaggle is adived in order to test it yourself please click the "Copy and edit" button https://www.kaggle.com/pawebiegun/battleship-rl

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This repository contains code that has been created as part of article titled "Utilizing scalable reinforcement learning model training teqniques in the game of Battleship" written by Paweł Biegun under the guidance of Sławomir Herma, PhD.

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