87 search results - page 2 / 18 » A policy iteration algorithm for Markov decision processes s... |
ISAAC
2010
Springer
13 years 3 months ago
2010
Springer
Howard's policy iteration algorithm is one of the most widely used algorithms for finding optimal policies for controlling Markov Decision Processes (MDPs). When applied to we...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
ISCC
2000
IEEE
13 years 9 months ago
2000
IEEE
With standard assumptions the routing and wavelength assignment problem (RWA) can be viewed as a Markov Decision Process (MDP). The problem, however, defies an exact solution bec...
ECAI
2010
Springer
13 years 6 months ago
2010
Springer
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
CORR
2007
Springer
13 years 5 months ago
2007
Springer
— This paper explores optimization of paging and registration policies in cellular networks. Motion is modeled as a discrete-time Markov process, and minimization of the discount...