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TSMC
2008
146views more  TSMC 2008»
13 years 7 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
CCE
2004
13 years 7 months ago
A decomposition method for synthesizing complex column configurations using tray-by-tray GDP models
This paper describes an optimization procedure for the synthesis of complex distillation configurations. A superstructure based on the Reversible Distillation Sequence Model (RDSM...
Mariana Barttfeld, Pío A. Aguirre, Ignacio ...
AIL
2000
78views more  AIL 2000»
13 years 7 months ago
Representation of formal dispute with a standing order
Computational dialectics is a relatively new field. It is, among others, concerned with the formal representation of argument and dispute. The goal is to suggest algorithms, proce...
Gerard Vreeswijk
CN
2002
77views more  CN 2002»
13 years 7 months ago
MATE: multipath adaptive traffic engineering
Destination-based forwarding in traditional IP routers has not been able to take full advantage of multiple paths that frequently exist in Internet Service Provider Networks. As a...
Anwar Elwalid, Cheng Jin, Steven H. Low, Indra Wid...
COR
2002
90views more  COR 2002»
13 years 7 months ago
Extremist vs. centrist decision behavior: quasi-convex utility functions for interactive multi-objective linear programming prob
This paper presents the fundamental theory and algorithms for identifying the most preferred alternative for a decision maker (DM) having a non-centrist (or extremist) preferentia...
Behnam Malakooti, Jumah E. Al-alwani