prototwin/RLExamples
PotoTwin Reinforcement Learning Examples
This provides ready-to-use examples for training intelligent agents within robotics and industrial automation simulations. It takes your ProtoTwin simulation models as input and produces trained reinforcement learning agents capable of performing complex tasks like balancing a pole, walking, or robotic manipulation. This is for robotics engineers, automation specialists, and researchers developing autonomous systems.
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Use this if you are a robotics engineer or researcher looking to apply reinforcement learning to simulated robotic systems for tasks like control, navigation, or complex manipulation.
Not ideal if you are looking for a general-purpose reinforcement learning framework that doesn't require the ProtoTwin simulation platform.
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Python
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MIT
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Last pushed
Sep 08, 2025
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