176 search results - page 20 / 36 » Approximation and Exactness in Finite State Optimality Theor... |
CDC
2009
IEEE
13 years 11 months ago
2009
IEEE
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
AAAI
2006
13 years 9 months ago
2006
We study how to find plans that maximize the expected total utility for a given MDP, a planning objective that is important for decision making in high-stakes domains. The optimal...
SIAMADS
2010
13 years 2 months ago
2010
Neural or cortical fields are continuous assemblies of mesoscopic models, also called neural masses, of neural populations that are fundamental in the modeling of macroscopic parts...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...