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Extending EmblaV1 for robotic application and biologically inspired intrinsic reward

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EmblaV2

Using EmblaV1 with a biologically inspired intrinsic reward system

Details

A detailed description of EmblaV1 is provided at additionalMaterials/DreamerFFKSM.pdf.

Usage

  • install requirements (note that you need torch with cuda)
  • replace pusher_v5.xml or ant_v5.xml in the gymnasium lib folder (yourPythonVenv/gymnasium/envs/mujoco/assets) with the file in this repo! (necessary for the colourfilter)
  • run main.py to start
  • modify config to change all relevant Dreamer and FFKSM parameters

Current state

  • EmblaV2 has self-sustainability as a first intrinsic reward
  • needs testing

Acknowledgements

  • NaturalDreamer Helped me to understand the DreamerV3 Architecture. Used the Code as a base.
  • SelfModel Original Selfmodel-code, which I modified and fused with the DreamerV3 Architecture.

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Extending EmblaV1 for robotic application and biologically inspired intrinsic reward

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