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Java Deep Learning Projects by Md. Rezaul Karim

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Using deep reinforcement learning for GridWorld

In this project, we saw how to develop a demo GridWorld game using DL4J and Neural QLearning, which acts as the Q function. We also provided some basic theoretical background for developing DQN to play a GridWorld game. However, we did not develop a module for visualizing the moves of the agent for the entire episodes. I confess that it was the biggest drawback of this project. However, I discussed some improvements in the FAQ section.

The takeaway from this project is extending this application with a visualization model or even developing other RL-based games, such as Doom and ALE would be a good idea. Secondly and finally, we can also think of developing another interesting RL project for ...

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