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» Mean-Variance Optimization in Markov Decision Processes
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IJCAI
2003
13 years 9 months ago
Automated Generation of Understandable Contingency Plans
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
Max Horstmann, Shlomo Zilberstein
ISCC
2000
IEEE
104views Communications» more  ISCC 2000»
14 years 3 days ago
Dynamic Routing and Wavelength Assignment Using First Policy Iteration
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...
Esa Hyytiä, Jorma T. Virtamo
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
14 years 1 months ago
ATNoSFERES revisited
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
Samuel Landau, Olivier Sigaud, Marc Schoenauer
MONET
2006
141views more  MONET 2006»
13 years 7 months ago
An Energy-Optimal Algorithm for Neighbor Discovery in Wireless Sensor Networks
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objec...
Ritesh Madan, Sanjay Lall
GLOBECOM
2008
IEEE
14 years 2 months ago
Foresighted Resource Reciprocation Strategies in P2P Networks
—We consider peer-to-peer (P2P) networks, where multiple peers are interested in sharing content. While sharing resources, autonomous and self-interested peers need to make decis...
Hyunggon Park, Mihaela van der Schaar