93 search results - page 3 / 19 » A Novel Prioritization Technique for Solving Markov Decision... |
JAIR
2000
13 years 5 months ago
2000
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
AAAI
2004
13 years 6 months ago
2004
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
JAIR
2006
13 years 5 months ago
2006
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...