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What is a World Model?

A comprehensive introduction to the concept of World Models in artificial intelligence.

world modelsAImachine learningintroduction

What is a World Model?

A World Model is an internal representation that an AI agent builds to understand and predict its environment.

Core Idea

The fundamental insight behind World Models is that intelligent behavior requires:

  1. Perception: Understanding the current state of the world
  2. Prediction: Anticipating how actions affect the world
  3. Planning: Choosing actions to achieve goals

Key Benefits

  1. Sample Efficiency: Learn from fewer real-world interactions
  2. Safe Exploration: Make mistakes in imagination, not reality
  3. Transfer Learning: Reuse learned models across tasks
  4. Interpretability: Understand what the agent has learned
References
Academic papers and resources

World Models

David Ha, Jürgen Schmidhuber (2018)

paper