Results 91 to 100 of about 7,880,220 (196)
The average cost optimal control problem is addressed for Markov decision processes with unbounded cost. It is found that the policy iteration algorithm generates a sequence of policies which are (a strong stability condition), where c is the cost ...
Markov Decision Processes
core
Nonlinear Markov games on a finite state space (mean-field and binary interactions) [PDF]
Managing large complex stochastic systems, including competitive interests, when one or several players can control the behavior of a large number of particles (agents, mechanisms, vehicles, subsidiaries, species, police units, etc), say Nk for a player ...
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
core +1 more source
A GOODNESS OF FIT TEST FOR ERGODIC MARKOV PROCESSES [PDF]
We introduce a goodness of fit test for ergodic Markov processes. Our test compares the data against the set of stationary densities implied by the class of models specified in the null hypothesis, and rejects if no model in the class yields a stationary
Vance Martin +2 more
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Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes
In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic
Youssef Boulid +2 more
doaj +1 more source
Multiple-Environment Markov Decision Processes
info:eu-repo/semantics ...
Raskin, Jean-François, Sankur, Ocan
openaire +5 more sources
Partially Observable Markov Decision Processes in Shared Autonomy Applications: A Survey
Shared autonomy consists of a collaborative effort between a human user and a robotic system having a shared goal, in which the human-controlled robot adapts its behaviour to provide assistive actions.
Shyrailym Shaldambayeva +4 more
doaj +1 more source
Wide sense one-dependent processes with embedded Harris chains and their applications in inventory management [PDF]
In this paper we consider stochastic processes with an embedded Harris chain. The embedded Harris chain describes the dependence structure of the stochastic process.
Bazsa, E.M., Iseger, P. den
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Random-horizon Markov decision processes with fuzzy rewards on Borel spaces
We study a class of Markov decision processes on Borel state spaces motivated by situations where both the horizon and the notion of performance are uncertain.
Cruz-Suárez Hugo +2 more
doaj +1 more source
Nonuniqueness versus Uniqueness of Optimal Policies in Convex Discounted Markov Decision Processes
From the classical point of view, it is important to determine if in a Markov decision process (MDP), besides their existence, the uniqueness of the optimal policies is guaranteed.
Raúl Montes-de-Oca +2 more
doaj +1 more source
BATCH POLICY LEARNING IN AVERAGE REWARD MARKOV DECISION PROCESSES. [PDF]
Liao P +4 more
europepmc +1 more source

