337 search results - page 32 / 68 » An Anytime Algorithm for Decision Making under Uncertainty |
AAAI
2010
13 years 10 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— The problem of simultaneous localization and mapping (SLAM) is one of the most studied in the robotics literature. Most existing approaches, however, focus on scenarios where l...
FLAIRS
2009
13 years 6 months ago
2009
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
HOTOS
1999
IEEE
14 years 1 months ago
1999
IEEE
A Web proxy must accurately predict network performance between itself and its servers and clients in order to make good distillation decisions. In this paper, we show that the cu...
ATAL
2010
Springer
13 years 10 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...