Comments (4)
It can refer to different positions of the robot, or different target positions, it depends on how you set up the rest of the hyperparams. It's done like this because that's the point of GPS: we essentially solve the problem locally from M different initial conditions, then use a neural network to combine those local solutions into one global solution.
from gps.
It's maybe poorly named, but conditions
just refers to the number of experimental conditions, which is typically just the number of initial positions.
from gps.
Thank you for the reply. Could you please elaborate a little more?
Number of initial positions? Do you mean four different positions (of the robot) from which the same experiment is done parallelly? Or four different start locations of end effector (for e.g. the peg insertion task)? Why is it done like that? Is is just for the having different views of the world if you are using cov-nets for image processing?
from gps.
Please refer to the paper for basic algorithmic questions:
http://jmlr.org/papers/v17/15-522.html
from gps.
Related Issues (20)
- Trajectory optimization not stable HOT 1
- ImportError: Failed to import any qt binding HOT 2
- Include observation in reward function without using it during state feedback
- Different definitions of "Loss of Supervised Learning" between the paper and the code HOT 1
- SyntaxWarning: The publisher should be created with an explicit keyword argument 'queue_size'. HOT 1
- Why is nominal trajectory not used in iLQR control law? HOT 2
- The installation of the dependencies drives me mad
- ImportError: No module named mjcpy
- leading minor of the array is not positive definite
- no GPSPR2Plugin HOT 1
- A successful implement of the code dependencies
- ValueError: array must not contain infs or NaNs HOT 1
- How to reperform a pr2 action?
- An installation structure of the code dependencies HOT 1
- -
- some problems when i use `--resume iter_N`
- init_traj_distr setting problems when dX < 2 * dU
- DataLossError: 2 root error(s) found.
- How do you compute the variance in the m-step of GMM ??
- No
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from gps.