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TSMC
2002
98views more  TSMC 2002»
15 years 6 months ago
The STAR automaton: expediency and optimality properties
Abstract--We present the STack ARchitecture (STAR) automaton. It is a fixed structure, multiaction, reward-penalty learning automaton, characterized by a star-shaped state transiti...
Anastasios A. Economides, Athanasios Kehagias
212
Voted
ASE
2006
123views more  ASE 2006»
15 years 6 months ago
Separating sequence overlap for automated test sequence generation
Finite state machines have been used to model a number of classes of system and there has thus been much interest in the automatic generation of test sequences from finite state m...
Robert M. Hierons
KI
2009
Springer
16 years 1 months ago
Maximum a Posteriori Estimation of Dynamically Changing Distributions
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Michael Volkhardt, Sören Kalesse, Steffen M&u...
COLT
2008
Springer
15 years 8 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
SIAMAM
2008
119views more  SIAMAM 2008»
15 years 6 months ago
The Chapman--Jouguet Closure for the Riemann Problem with Vaporization
This work is devoted to the modelling of phase transition. The thermodynamic model for phase transition chosen is a model with two equations of state, each of them modelling one p...
Vincent Perrier