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This repository was archived by the owner on Sep 19, 2025. It is now read-only.

francescobianca/2048-DeepQLearning-Approach

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2048 A Deep Q-Learning-Approach

Project for the Machine Learning course - La Sapienza Università di Roma

Implementing an agent for the 2048 game using a reinforcement learning approach.

Let's see in action: https://youtu.be/swc_otVJJrA

Requirements

  • tensorflow==1.14.0
  • keras-rl
  • keras==2.2.0
  • gym
  • matplotlib
  • pandas
  • numpy

Graphic Interface: visualize=True in test/fit

Evaluation:

Training results with 5 millions steps

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Dataframe training results with 5.000 steps

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Dataframe training results with 5.000.000 steps

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