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JAIR
2008
107views more  JAIR 2008»
14 years 11 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
15 years 5 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 5 months ago
Issues in Rational Planning in Multi-Agent Settings
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
Piotr J. Gmytrasiewicz
SOSP
2007
ACM
15 years 8 months ago
Information flow control for standard OS abstractions
ion Flow Control for Standard OS Abstractions Maxwell Krohn Alexander Yip Micah Brodsky Natan Cliffer M. Frans Kaashoek Eddie Kohler† Robert Morris MIT CSAIL †UCLA http://flum...
Maxwell N. Krohn, Alexander Yip, Micah Z. Brodsky,...
ICDCS
2010
IEEE
15 years 3 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...