DreamerV3 World Model RL from Scratch — Educational implementation of model-based reinforcement learning
-
Updated
Feb 15, 2026 - Python
DreamerV3 World Model RL from Scratch — Educational implementation of model-based reinforcement learning
A neural network learns Pac-Man, a world model learns to dream the game, and a third agent learns to play entirely inside those dreams. PPO → RSSM world model → imagination training → online dream loop. Custom vectorized NumPy engine, PyTorch, built from scratch.
Sonification and visualization of latent space deviations in industrial RSSM models — reconstructing tacit knowledge of skilled workers through data-driven perceptual transduction.
World model (Dreamer/RSSM) vs. model-free PPO for cooperative multi-agent control on PettingZoo Multiwalker with shared policy
Train a neural world model on your own video data, then play it live with WASD. Record → Kaggle → Play
This project tests that hypothesis using two 1D physical phenomena — heat diffusion and Burgers equation — as elementary World Models, and advection-diffusion as the compound target phenomenon that neither model can represent alone.
Add a description, image, and links to the rssm topic page so that developers can more easily learn about it.
To associate your repository with the rssm topic, visit your repo's landing page and select "manage topics."