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» How to Dynamically Merge Markov Decision Processes
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WWW
2005
ACM
15 years 10 months ago
Executing incoherency bounded continuous queries at web data aggregators
Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of some ...
Rajeev Gupta, Ashish Puri, Krithi Ramamritham
INFOCOM
2005
IEEE
15 years 3 months ago
Dynamic node activation in networks of rechargeable sensors
— We consider a network of rechargeable sensors, deployed redundantly in a random sensing environment, and address the problem of how sensor nodes should be activated dynamically...
Koushik Kar, Ananth Krishnamurthy, Neeraj Jaggi
UAI
2004
14 years 11 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
87
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CCE
2004
14 years 9 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff
IJRR
2010
162views more  IJRR 2010»
14 years 8 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...