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

Dataframe training results with 5.000 steps

Dataframe training results with 5.000.000 steps