280 search results - page 12 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
AAAI
2007
15 years 3 days ago
2007
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
ECAI
2010
Springer
14 years 11 months ago
2010
Springer
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
One of the difficulties to adapt MDPs for the control of cooperative multi-agent systems, is the complexity issued from Decentralized MDPs. Moreover, existing approaches can not ...
102
click to vote
CSL
2007
Springer
14 years 9 months ago
2007
Springer
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
ICRA
2007
IEEE
15 years 4 months ago
2007
IEEE
— We introduce the Oracular Partially Observable Markov Decision Process (OPOMDP), a type of POMDP in which the world produces no observations; instead there is an “oracle,” ...