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» Inspector Methods for State Abstraction
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ICML
2004
IEEE
14 years 8 months ago
Using relative novelty to identify useful temporal abstractions in reinforcement learning
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Özgür Simsek, Andrew G. Barto
CISS
2011
IEEE
12 years 11 months ago
New hypothesis testing-based methods for fault detection for smart grid systems
Abstract—Fault detection plays an indispensable role in ensuring the security of smart grid systems. Based on the dynamics of the generators, we show the time evolution of the sm...
Qian He, Rick S. Blum
CMSB
2006
Springer
13 years 11 months ago
Stronger Computational Modelling of Signalling Pathways Using Both Continuous and Discrete-State Methods
Abstract. Starting from a biochemical signalling pathway model expressed in a process algebra enriched with quantitative information we automatically derive both continuous-space a...
Muffy Calder, Adam Duguid, Stephen Gilmore, Jane H...
PE
2011
Springer
214views Optimization» more  PE 2011»
13 years 2 months ago
Time-bounded reachability in tree-structured QBDs by abstraction
Structured QBDs by Abstraction Daniel Klink, Anne Remke, Boudewijn R. Haverkort, Fellow, IEEE, and Joost-Pieter Katoen, Member, IEEE Computer Society —This paper studies quantita...
Daniel Klink, Anne Remke, Boudewijn R. Haverkort, ...
WIA
2001
Springer
13 years 12 months ago
Compilation Methods of Minimal Acyclic Finite-State Automata for Large Dictionaries
Abstract. We present a reflection on the evolution of the different methods for constructing minimal deterministic acyclic finite-state automata from a finite set of words. We ...
Jorge Graña, Francisco-Mario Barcala, Migue...