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Advanced
60 hours
About
This course explores the core principles of AlphaZero, DeepMind's groundbreaking AI, and applies them to simpler board games. Gain hands-on experience building AI models from scratch using GPUs and cloud environments.
Content
Implement the Tic Tac Toe game logic to enable agents to learn how to play.
Implement the MCTS algorithm to estimate the best moves for game players.
Build a neural network to predict the next player move and evaluate the current position.
Combine the results of MCTS with the neural network training outcomes.
Set up the game players to train by playing against each other.
Implement the Connect Four game interface and teach your game players how to play.
Implement the Dots and Boxes game interface and teach your game players how to play. Experiment with the web interface to play against the models you have trained.
Prerequisite knowledge:
Basic understanding of machine learning and deep learning concepts
Familiarity with Python, NumPy and PyTorch
Some experience with neural networks is recommended but not required
