AlphaZero, developed by DeepMind, is a pioneering AI system that has mastered games like Chess, Shogi, and Go through self-play and deep reinforcement learning.
In this course, you’ll learn how to apply the core principles behind AlphaZero to simpler board games, gaining insights that extend to a broad range of AI challenges.
You'll get hands-on experience building real AI models from scratch, utilizing powerful GPUs and cloud development environments.
This course runs in a dedicated cloud environment, automatically set up with everything you need, including the latest IDE, course materials, and essential tools.
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.
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Design a simple web application to showcase your AI playing Dots and Boxes.
Discover the key concepts that empower AlphaZero to surpass human intelligence.
Build AI players for Tic Tac Toe, Connect Four, and Dots and Boxes, step by step.
JetBrains Academy taps into the more than 20 years of experience behind JetBrains’ top developer tools, which are trusted by 90 Fortune Global Top 100 companies. Benefit from our expertise as the creators of the tools you’ll be using.
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