implement, and effective on a wide range of robotics tasks. However, trajectory optimization
algorithms have parameters that are typically set in advance (and rarely discussed in detail).
Setting these parameters properly can have a significant impact on the practical
performance of the algorithm, sometimes making the difference between finding a feasible
plan or failing at the task entirely. We propose a method for leveraging past experience to …