We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Dear author,
Hello! I have a question for the part of "halton-spline", the code in mppi.py is shown as below.
elif self.mppi_mode == 'halton-spline': # shift command 1 time step saved_action = self.mean_action[-1] self.mean_action = torch.roll(self.mean_action, -1, dims=0) self.mean_action[-1] = saved_action cost_total = self._compute_total_cost_batch_halton() action = torch.clone(self.mean_action)
In this part, the final 'action' is given by the mean of 'saved_action', and it only has a 'shift' operation and no other operations.
Is the method work, could you please explain this part. Thanks for your help.
Best wishes
The text was updated successfully, but these errors were encountered:
Hi @kkkkkaiai, sorry for the late reply. In case of halton spline sampling, the self.mean_action is updated in _update_distribution.
self.mean_action
_update_distribution
Sorry, something went wrong.
No branches or pull requests
Dear author,
Hello! I have a question for the part of "halton-spline", the code in mppi.py is shown as below.
In this part, the final 'action' is given by the mean of 'saved_action', and it only has a 'shift' operation and no other operations.
Is the method work, could you please explain this part. Thanks for your help.
Best wishes
The text was updated successfully, but these errors were encountered: