Towards Practical Finite Sample Bounds for Motion Planning in TAMP.
Seiji ShawAidan CurtisLeslie Pack KaelblingTomás Lozano-PérezNicholas RoyPublished in: CoRR (2024)
Keyphrases
- finite sample
- motion planning
- sample size
- statistical learning theory
- error bounds
- uniform convergence
- degrees of freedom
- mobile robot
- nearest neighbor
- path planning
- humanoid robot
- multi robot
- generalization bounds
- parzen window
- lower bound
- upper bound
- support vector machine
- generalization error
- learning rate
- supervised classification
- climbing robot
- reproducing kernel hilbert space
- density estimation