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