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How we used Reinforcement Learning to solve the Abbey of Crime | Juantomás Garcia Molina
Learn how to solve complex problems using reinforcement learning and deep learning, as demonstrated by the Abbey of Crime project, where a neural network plays a difficult game with billions of possible moves.
- Using Keras is recommended for deep learning projects.
- Reinforcement learning is a method to learn from rewards or punishments.
- The Abbey of Crime project uses a neural network to play a game.
- The game is very difficult to solve, with billions of possible moves.
- The project uses a Docker file to create a container for the game engine.
- The game engine is run in a Kubernetes cluster with 10 machines.
- The project uses a smart cluster to manage the game engine and artificial intelligence.
- The artificial intelligence needs to learn from rewards or punishments to improve its game-playing abilities.
- The project uses a OpenAI gene to normalize the game environment.
- The game is played in a loop, with the artificial intelligence making decisions and receiving rewards or punishments.
- The project uses a fake keyboard to interact with the game engine.
- The game engine runs in a cluster with multiple machines.
- The project uses a neural network to predict the outcome of the game.
- The artificial intelligence needs to learn from millions of games to improve its abilities.