Code for Artificial Intelligence course

I am using this project to support actitivies related to the Artificial Intelligence discipline that is part of an undergraduate course Computer Science.

The topics discussed in the course are:

1. Artificial Intelligence Introduction;
2. Intelligent Agents;
3. Solving Problems by Searching;
4. Informed Search Methods;
5. Game Playing;
6. Reinforcement Learning (Here, I present the concept of Learning from Observations, Supervised Learning and Unsupervised Learning. However, I have a specific course to discuss those topics. You can access this material here).

How this project is structured

We have four (4) folders:

• docs: this folder has several documents describing concepts, algorithms and projects. All content is in Portuguese.

• search: this folder has implementations related to solving problem by searching, and informed search methods. I suggest to start from this folder in order to understand all the implementations (search, games, and reinLearn).

• games: this folder keeps source code related to game playing.

• reinLearn: this folder has source code related to reinforcement learning. Some examples are using the project Gym.

How to setup the environment

In order to avoid any configuration problem, I recommend to create a virtual environment with python 3.7:

python3.7 -m virtualenv venv
source venv/bin/activate
python -m pip install --upgrade pip
pip install -r requirements.txt

To quit the virtual environment, type deactivate. If you already have the virtual environment configured then type source venv/bin/activate.