| Contributors | sID |
|---|---|
| Alessio Carachino | s296138 |
| Giuseppe Atanasio | s300733 |
| Francesco Sorrentino | s301665 |
| Francesco Di Gangi | s301793 |
ALL MEMBERS EQUALLY CONTRIBUTED TO THE PROJECT. FIRST EACH MEMBER MAINLY FOCUSED ON ONE IDEA AND THEN WE MERGED THE FINDINGS
.
├── README.md
├── poetry.lock
├── pyproject.toml
└── quarto
├── GA_MinMaxPlayer.py
├── GA_Player.py
├── MinMax_Player.py
├── RandomPlayer.py
├── __init__.py
├── __pycache__
│ ├── GA_MinMaxPlayer.cpython-310.pyc
│ ├── GA_Player.cpython-310.pyc
│ ├── MinMax_Player.cpython-310.pyc
│ ├── RandomPlayer.cpython-310.pyc
│ └── minimax.cpython-310.pyc
├── image.jpg
├── image2.jpg
├── main.py
├── main_RL.py
├── minimax.py
├── quarto
│ ├── __init__.py
│ ├── __pycache__
│ │ ├── __init__.cpython-310.pyc
│ │ └── objects.cpython-310.pyc
│ └── objects.py
├── readme.md
└── reinforcement
├── Memory.py
├── Q_data_RL_GA.dat
├── __init__.py
├── images
│ ├── RL&GA_vs_GA_2nd_test.svg
│ ├── RL&GA_vs_GA_2nd_train.svg
│ ├── RL&GA_vs_GA_eps0.95_alpha0.1_train.svg
│ ├── RL&GA_vs_GA_eps0.995_alpha0.1_train.svg
│ ├── RL&GA_vs_GA_eps0.995_alpha0.3_train.svg
│ ├── RL&GA_vs_GA_eps0.9995_alpha0.1_train.svg
│ └── RL&GA_vs_Random_2nd_test.svg
├── rl_agent.py
├── tables.py
└── utils.py
First of all you have to install poetry on your pc. Then, you have to move inside the "quarto_ci_2022_2023" folder and launch this command:
poetry install
After that, to test our code you have to launch the following:
poetry run python quarto/[main_RL or main].py
GA Agent is described in the GA_Player.py file. The file describes the agent using only the Genetic Algorithm strategy.
The main file for the minmax are: minmax.py and MinMax_Player.py. These files describe the two strategies using only MinMax.
GA+MinMax Agent is described in the file GA_MinMaxPlayer.py. This file describes the strategy used by our final agent: Genetic ALgorithm and MinMax.
RL agent is developed between rl_agent.py and main_RL.py.
The best strategy is to use the GA_MinMaxPlayer.py, that is the combination of MinMax and Genetic Algorithm.
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