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JAIR
2007
127views more  JAIR 2007»
15 years 6 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
ICASSP
2011
IEEE
14 years 10 months ago
A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution
In this paper we model and simulate a biological system describing the evolution of cancer stem cells into tumors. Starting from some basic hypotheses about the behavior of these ...
Mónica F. Bugallo, Shishir Dash, Galina Bot...
AUTOMATICA
2008
74views more  AUTOMATICA 2008»
15 years 6 months ago
Policy iteration based feedback control
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...
Kan-Jian Zhang, Yan-Kai Xu, Xi Chen, Xi-Ren Cao
GLOBECOM
2009
IEEE
15 years 4 months ago
Minimum-Length Scheduling for Multicast Traffic under Channel Uncertainty
Abstract--We consider a set of multicast sources, each multicasting a finite amount of data to its corresponding destinations. The objective is to minimize the time to deliver all ...
Anna Pantelidou, Anthony Ephremides
IMCSIT
2010
15 years 3 months ago
PSO based modeling of Takagi-Sugeno fuzzy motion controller for dynamic object tracking with mobile platform
Modeling of optimized motion controller is one of the interesting problems in the context of behavior based mobile robotics. Behavior based mobile robots should have an ideal contr...
Meenakshi Gupta, Laxmidhar Behera, Venkatesh K. S.