Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples

Beomjoon Kim, Leslie Pack Kaelbling, Tomas Lozano-Perez

In robotics, it is essential to be able to plan efficiently in high-dimensional continuous state-action spaces for long horizons. For such complex planning problems, unguided unifo…