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Showing 10 out of a total of 13 results.
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Extending DTGolog to deal with POMDPs
Rens, G
;
Ferrein, A
;
van der Poel, E
(
PRASA
,
2008-11
)
Logic for specifying partially observable stochastic domains
Rens, G
;
Meyer, T
;
Ferrein, A
;
Lakemeyer, G
(
2011-07
)
A logic for specifying stochastic actions and observations
Rens, G
;
Meyer, T
;
Lakemeyer, G
(
Springer
,
2014-03
)
Speeding up Online POMDP planning - unification of observation branches by belief-state compression via expected feature values
Rens, G
(
Scitepress Digital Library
,
2015-01
)
Belief-node Condensation for Online POMDP Algorithms
Rens, G
;
Ferrein, A
(
Centre for Artificial Intelligence Research
,
2013-09
)
A logic for specifying agent actions and observations with probability
Rens, G
;
Lakemeyer, G
;
Meyer, T
(
IOS Press
,
2012-08
)
On stochastic belief revision and update and their combination
Rens, G
(
Association for the Advancement of Artificial Intelligence
,
2016-04
)
A new approach to probabilistic belief change
Rens, G
;
Meyer, T
(
AAAI Publications
,
2015-05
)
Revising incompletely specified convex probabilistic belief bases
Rens, G
;
Meyer, T
;
Casini, G
(
Association for the Advancement of Artificial Intelligence
,
2016-04
)
On the logical specification of probabilistic transition models
Rens, G
;
Meyer, T
;
Lakemeyer, G
(
COMMONSENSE 2013
,
2013-05
)
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Rens, G (13)
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Partially observable Markov decision process (4)
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