Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces
ICAPS, pp. 259-263, 2018.
Online solvers for partially observable Markov decision processes have been applied to problems with large discrete state spaces, but continuous state, action, and observation spaces remain a challenge. This paper begins by investigating double progressive widening (DPW) as a solution to this challenge. However, we prove that this modific...More
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