In this tutorial series, we are going through every step of building an expert Reinforcement Learning (RL) agent that is capable of playing games.
This series is divided into three parts:
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Part 1: Designing and Building the Game Environment. In this part we will build a game environment and customize it to make the RL agent able to train on it.
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Part 2: Build and Train the Deep Q Neural Network (DQN). In this part, we define and build the different layers of DQN and train it.
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Part 3: Test and Play the Game.