Mini Project 1 in EPFL course CS-456 Artificial neural networks (Spring 2022)
The questions and the report can be fround in the doc
folder.
The Q-learning.ipynb
notebook is the runs for the Questions 1 to 10.
This notebooks uses the tic_env.py
, tic_plot.py
, performance_measures.py
, q_table.py
and policies.py
files.
The Deep_Q_Learning.ipynb
notebook is the runs for the Questions 11 to 19. This notebooks uses the tic_env.py
, tic_plot.py
, deep_performance_measures.py
and deep_utils.py
files.
The T_train_calculation.ipynb
notebook is the runs for the Questions 20 to 21.