Learning Modules

Master World Models Step by Step

Structured learning path from fundamentals to advanced concepts. Each module includes theory, examples, and hands-on exercises.

Introduction to World Models

Understand what World Models are and why they represent a paradigm shift in AI research.

Vision Model: Variational Autoencoder (VAE)

Learn how VAEs compress visual observations into compact latent representations.

Memory Model: MDN-RNN

Explore how the MDN-RNN predicts future states and maintains temporal context.

Controller: Evolution Strategies

Learn how the controller is trained using CMA-ES evolution strategies.

Applications and Extensions

Discover real-world applications and recent advances in World Models research.