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Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch

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Hi there, Thank you for your amazing work. I'm trying your code on Hopper env. However, I get an error from the handle_batch_input function: ``` Traceback (most recent call last):...

pip install pytorch-mppi[test] and pip install pytorch-mppi[tune] does not work

Would this algorithm be better or worse for peg in hole tasks? I wonder if you have tried

The Readme says terminal_state_cost is only a function of the full state: "terminal state cost- function(state (K x T x nx)) -> cost (K x 1)" But in file src/mppi.py,...