Think fast and far: Long-horizon online POMDP planning via rapid state sampling
The International Journal of Robotics Research
Published online on June 26, 2026
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 ...
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 ...