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PRICAI
2000
Springer
13 years 11 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
CASES
2006
ACM
13 years 11 months ago
State space reconfigurability: an implementation architecture for self modifying finite automata
Many embedded systems exhibit temporally and behaviorally disjoint behavior slices. When such behaviors are captured by state machines, the current design flow will capture it as ...
Ka-Ming Keung, Akhilesh Tyagi
HICSS
2008
IEEE
91views Biometrics» more  HICSS 2008»
14 years 2 months ago
Governance Structures in Cross-Boundary Information Sharing: Lessons from State and Local Criminal Justice Initiatives
Governments are increasingly using collaborative, cross-boundary strategies to face complex social problems. Many of these cross-boundary initiatives have at their core the use, a...
Theresa A. Pardo, José Ramón Gil-Gar...
TOOLS
2008
IEEE
14 years 1 months ago
A Comparison of State-Based Modelling Tools for Model Validation
In model-based testing, one of the biggest decisions taken before modelling is the modelling language and the model analysis tool to be used to model the system under investigation...
Emine G. Aydal, Mark Utting, Jim Woodcock
CICLING
2007
Springer
14 years 1 months ago
Finite-State Technology as a Programming Environment
Finite-state technology is considered the preferred model for representing the phonology and morphology of natural languages. The attractiveness of this technology for natural lang...
Shuly Wintner