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World Models

  • two components:

    1. world model (vision model CNN + memory RNN)
    2. controller model
  • vision model is a VAE, compress image to small latent vector z

Dataset Generation

You can use the generate_vae_data.py script to generate a dataset for training the VAE model. Before you do this, make sure you have enough space on your disk (~260 GB).

Todos

  • create a training script for the VAE
  • add image transforms for the VAE training
  • create the controller model
  • create the memory model

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Pytorch Implementation of the World Models paper from 2018.

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