Learn To Create Artificially Intelligent Games Using Python3

If you’re interested in learning how to make your own Artificially Intelligent games using Python, then this is the course for you!

This course is full of tutorial videos along with materials which one can run to get familiar with this discipline. You no longer need to read complex research papers and have a solid foundation in mathematics to get going. Just follow this course and materials and you’re on your way.

Let’s take a look at the structure of this course:

We are going to start with a simple game that implements popular board game algorithm: MinMax. In this game we are going to create TicTacToe and write an algorithm that plays against human player and tries to beat human player.

Next we are going to learn about gym module: a popular library which can be used to write and test our AI algorithms.

After that, we are going to learn about Bellman Equation and Dynamic Programming. We are going to learn how to find the optimal value of the states using Bellman equations through model dynamics. We are going to implement maze game to implement Q–learning algorithm.

Then, we are going to learn about Monte–Carlo Simulation. We are going to check how value function can be predicted using Monte Carlo simulation when model dynamics is unknown.