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Programming an agent to play 2048 game, using deep q-learning

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2048WithDeepQLearning

Simple implementation of 2048 game, and reinforcement agent to learn optimal game policy, using deep q-learning.

Run guidelines

Code for 2048 and deep Q learning model is in /src
Run model training using runExperiment function in main.py.
modelExploitation.ipynb notebook shows some result analysis.

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Programming an agent to play 2048 game, using deep q-learning

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