Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces

ICAPS, pp. 259-263, 2018.

Cited by: 45|Bibtex|Views11|Links
EI

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments