2020
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
AISTATS 2020poster
In many real-world planning applications, e.g. dynamic design of experiments, autonomous driving and robot manipulation, it is necessary to evaluate candidate movement paths with respect to a safety cost function. Here, the continuous candidate paths need to be discretized first and, subsequently, e…