182 citations · 874 across the 39 of their papers we have counts for
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cs.AI2016★ 182 cited
DESPOT: Online POMDP Planning with Regularization
Nan Ye, Adhiraj Somani, David Hsu +1
The partially observable Markov decision process (POMDP) provides a principled general framework for planning under uncertainty, but solving POMDPs optimally is computationally int…
cs.AI2016★ 4 cited
POMDP-lite for Robust Robot Planning under Uncertainty
Min Chen, Emilio Frazzoli, David Hsu +1
The partially observable Markov decision process (POMDP) provides a principled general model for planning under uncertainty. However, solving a general POMDP is computationally int…