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» Experts in a Markov Decision Process
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ATAL
2006
Springer
13 years 11 months ago
Winning back the CUP for distributed POMDPs: planning over continuous belief spaces
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
Pradeep Varakantham, Ranjit Nair, Milind Tambe, Ma...
IUI
2005
ACM
14 years 1 months ago
Task aware information access for diagnosis of manufacturing problems
Pinpoint is a promising first step towards using a rich model of task context in proactive and dynamic IR systems. Pinpoint allows a user to navigate decision tree representations...
Larry Birnbaum, Wallace J. Hopp, Seyed M. R. Irava...
EXPERT
2006
107views more  EXPERT 2006»
13 years 7 months ago
Provenance in Agent-Mediated Healthcare Systems
Agent-oriented cooperation techniques and standardized electronic healthcare record exchange protocols can be used to combine information regarding different facets of a therapy re...
Tamás Kifor, László Zsolt Var...
EXPERT
2011
131views more  EXPERT 2011»
12 years 11 months ago
Grid Monitoring and Market Risk Management
—With the rapid development of the electricity market, both grid and market operations need to be carefully coordinated and monitored in real time. This paper focuses on system m...
Yufan Guan, Mladen Kezunovic
IAT
2005
IEEE
14 years 1 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu