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A virtual reinforcement learning environment built in Unity / C# during my PhD

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Virtual-Octagon

A virtual environment for the Duan Octagon behavioural assay. Agent is using visual observations as sensors as well as geospatial knowledge of ports, egocentric positioning and speed.

Remaining items to do:

  • Add second agent
  • Add horiztonal rotation to allow agent to have 360 degree view
  • Duplicate arena to enhance training times
  • Agree on design choices to make environment match reality as much as possible
trainingRecording.mp4

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A virtual reinforcement learning environment built in Unity / C# during my PhD

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