194 search results - page 6 / 39 » Factorization with Uncertainty |
AIPS
2006
13 years 11 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
COR
2007
13 years 9 months ago
2007
TheUScarpetindustryisstrivingtoreacha40%diversionratefromlandfillsby2012,accordingtoamemorandum of understanding signed by industry and government officials in 2002. As a result...
IJRR
2010
13 years 8 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
ISPW
2007
IEEE
14 years 4 months ago
2007
IEEE
There is large uncertainty with the software cost in the early stages of software development due to requirement volatility, incomplete understanding of product domain, reuse oppor...
ATAL
2008
Springer
13 years 11 months ago
2008
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...