DreamerV3 World Model RL from Scratch — Educational implementation of model-based reinforcement learning
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Updated
Feb 15, 2026 - Python
DreamerV3 World Model RL from Scratch — Educational implementation of model-based reinforcement learning
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.
Train a neural world model on your own video data, then play it live with WASD. Record → Kaggle → Play
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
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