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Think fast and far: Long-horizon online POMDP planning via rapid state sampling

The International Journal of Robotics Research

Published online on

Abstract

The International Journal of Robotics Research, Ahead of Print.
Partially observable Markov decision processes (pomdps) are a general and principled framework for motion planning under uncertainty. Despite tremendous improvement in the scalability ofpomdpsolvers, long-horizonpomdps remain difficult to solve. To ...