{
  "architecture": "WorldModels",
  "latent_size": 64,
  "hidden_size": 256,
  "action_size": 4,
  "n_gaussians": 5,
  "components": {
    "vae": "Variational Autoencoder for visual compression",
    "rnn": "MDRNN (Memory-Augmented Recurrent Neural Network)",
    "controller": "CMA-ES optimized linear controller"
  },
  "trained_on": "Atari environment (Breakout)",
  "upload_date": "2025-12-25T08:13:58.344484",
  "framework": "PyTorch"
}