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ATAL
2004
Springer
14 years 24 days ago
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots
Adaptation is an essential requirement for self–organizing multi–agent systems functioning in unknown dynamic environments. Adaptation allows agents, e.g., robots, to change th...
Aram Galstyan, Kristina Lerman
CDC
2008
IEEE
127views Control Systems» more  CDC 2008»
14 years 1 months ago
Symmetry reduction for stochastic hybrid systems
This paper is focused on adapting symmetry reduction, a technique that is highly successful in traditional model checking, to stochastic hybrid systems. To that end, we first sho...
Manuela L. Bujorianu, Joost-Pieter Katoen
AIPS
2006
13 years 8 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
CDC
2010
IEEE
146views Control Systems» more  CDC 2010»
13 years 2 months ago
Adaptive autonomous soaring of multiple UAVs using Simultaneous Perturbation Stochastic Approximation
Abstract-- This paper presents a new algorithm for maximizing the flight duration of a single UAV (Uninhabited Air Vehicle) and UAVs group using the thermal model developed by Alle...
Cathrine Antal, Oleg Granichin, Sergey Levi
BMCBI
2010
104views more  BMCBI 2010»
13 years 7 months ago
Formal reasoning on qualitative models of coinfection of HIV and Tuberculosis and HAART therapy
Background: Several diseases, many of which nowadays pandemic, consist of multifactorial pathologies. Paradigmatic examples come from the immune response to pathogens, in which ca...
Anil Sorathiya, Andrea Bracciali, Pietro Liò...