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pytorch_mppi's Issues

handle_batch_input error

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):
  File "xxxx, line 62, in <module>
    action = ctrl.command(obs)
  File "xxx/pytorch_mppi/pytorch_mppi/mppi.py", line 194, in command
    cost_total = self._compute_total_cost_batch()
  File "xxx/pytorch_mppi/pytorch_mppi/mppi.py", line 280, in _compute_total_cost_batch
    self.cost_total, self.states, self.actions = self._compute_rollout_costs(self.perturbed_action)
  File "xxx/pytorch_mppi/pytorch_mppi/mppi.py", line 238, in _compute_rollout_costs
    c = self._running_cost(state, u)
  File "xxx/pytorch_mppi/pytorch_mppi/mppi.py", line 47, in wrapper
    ret = ret.view(*batch_dims)
ValueError: Type must be a sub-type of ndarray type

I'm wondering what this function is used for and whether you know where this error comes from.

Thank you so much for your help!

Installation issue

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

Parallelize sampling trajectories

Assuming dynamics, running cost, and terminal cost can operate on batches (K x <element size>), parallelize sampling and scoring trajectories

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