1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2022★ 1 cited
Adaptive Discretization using Voronoi Trees for Continuous-Action POMDPs
Marcus Hoerger, Hanna Kurniawati, Dirk Kroese +1
Solving Partially Observable Markov Decision Processes (POMDPs) with continuous actions is challenging, particularly for high-dimensional action spaces. To alleviate this difficult…
cs.AI2020
An On-Line POMDP Solver for Continuous Observation Spaces
Marcus Hoerger, Hanna Kurniawati
Planning under partial obervability is essential for autonomous robots. A principled way to address such planning problems is the Partially Observable Markov Decision Process (POMD…
cs.RO2020
Non-Linearity Measure for POMDP-based Motion Planning
Marcus Hoerger, Hanna Kurniawati, Alberto Elfes
Motion planning under uncertainty is essential for reliable robot operation. Despite substantial advances over the past decade, the problem remains difficult for systems with compl…