231 search results - page 42 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
KDD
2008
ACM
14 years 7 months ago
2008
ACM
IT problem management calls for quick identification of resolvers to reported problems. The efficiency of this process highly depends on ticket routing--transferring problem ticke...
AAAI
2006
13 years 9 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
FUIN
2006
13 years 7 months ago
2006
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
AI
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
ATAL
2008
Springer
13 years 9 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...