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DSN
2006
IEEE
14 years 2 months ago
Automatic Recovery Using Bounded Partially Observable Markov Decision Processes
This paper provides a technique, based on partially observable Markov decision processes (POMDPs), for building automatic recovery controllers to guide distributed system recovery...
Kaustubh R. Joshi, William H. Sanders, Matti A. Hi...
ATAL
2007
Springer
14 years 2 months ago
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
Janusz Marecki, Milind Tambe
EDBTW
2010
Springer
13 years 6 months ago
A decision support system to improve e-learning environments
Nowadays, due to the lack of face-to-face contact, distance course instructors have real difficulties knowing who their students are, how their students behave in the virtual cour...
Marta E. Zorrilla, Diego García, Elena &Aac...
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 8 months ago
Parallelizing Skyline Queries for Scalable Distribution
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are rest...
Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Div...
IJCAI
2001
13 years 10 months ago
An Improved Grid-Based Approximation Algorithm for POMDPs
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
Rong Zhou, Eric A. Hansen