Using Bayasian neural network to learn the transition models of sevaral different robotic environments.
Used three different environments: robotic hand in gazebo simulator, real robotic hand, arctobot.
Neural Network structure save in common/BNN.py
Run env/<environment_name>/regression for estimating dynamics
Run env/<environment_name>/prediction to test the NN model with test trajectory
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Using Bayasian neural network to learn the transition models of sevaral different robotic environments
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