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AAAI
1997
15 years 8 months ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
FTCS
1993
86views more  FTCS 1993»
15 years 8 months ago
Interval Availability Distribution Computation
Interval availability is a dependability measure defined by the fraction of time during which a system is in operation over a finite observation period. The computation of its d...
Gerardo Rubino, Bruno Sericola
ATVA
2010
Springer
135views Hardware» more  ATVA 2010»
15 years 8 months ago
Probabilistic Contracts for Component-Based Design
Abstract. We define a probabilistic contract framework for the construction of component-based embedded systems, based on the theory of Interactive Markov Chains. A contract specif...
Dana N. Xu, Gregor Gößler, Alain Giraul...
ESWS
2008
Springer
15 years 8 months ago
Semantic Annotation and Composition of Business Processes with Maestro
Abstract. One of the main problems when creating execution-level process models is finding implementations for process activities. Carrying out this activity manually can be time ...
Matthias Born, Jörg Hoffmann, Tomasz Kaczmare...
ICML
2010
IEEE
15 years 8 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...