Behavioral Cloning
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In Behavioral Cloning agent receives as training data both the encountered states and actions of the demonstrator, and then uses a classifier or regressor to replicate the expert’s policy. The steps involved in BC, involves: a) Collect demonstrations from expert. b) Assuming the expert trajectories as an i.i.d state-action pairs, learn a policy using supervised learning by minimizing the loss function. 

Classes and Functions
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.. automodule:: bc
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   :undoc-members:
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