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JAIR
2006
157views more  JAIR 2006»
15 years 6 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...
IPPS
2003
IEEE
15 years 11 months ago
Constrained Component Deployment in Wide-Area Networks Using AI Planning Techniques
Component-based models represent a dominant trend in the construction of wide-area network applications, making possible the integration of diverse functionality contained in modu...
Tatiana Kichkaylo, Anca-Andreea Ivan, Vijay Karamc...
AGENTS
1998
Springer
15 years 10 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ECIS
2004
15 years 7 months ago
A strategy modelling technique for financial services
Strategy planning processes often suffer from a lack of conceptual models that can be used to represent business strategies in a structured and standardized form. If natural langu...
Bernd Heinrich, Robert Winter
BC
2000
59views more  BC 2000»
15 years 6 months ago
A dynamical-systems model for Parkinson's disease
Abstract. The juxtaposition of hypokinetic and hyperkinetic symptoms in Parkinson's disease (PD) presents a challenge in modeling the basal ganglia. We propose a model of the ...
Christopher I. Connolly, J. Brian Burns, Mandar S....