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PlaNet

Reproducing the Deep Planning Network (PlaNet) by Hafner et al..

PlaNet is a model-based RL agent that leverages its world model to plan in latent space.

Dependencies:

  • PyTorch
  • DeepMind Control Suite
  • ffmpeg (optional: to render inline jupyter animations)
  • OpenCV
  • imagemagick (save matplotlib animations as gifs)

Checklist:

  • Generate random seed episodes
  • Implement experience replay
  • Define transition model / RSSM
  • Define reward model
  • Define decoder (observation model)
  • Define state encoder
  • Implement planner
  • Implement data collection using planner
  • Define training objective

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Reproducing PlaNet

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