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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
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
13 years 7 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari
TOG
2002
129views more  TOG 2002»
13 years 7 months ago
Fast bilateral filtering for the display of high-dynamic-range images
We present a new technique for the display of high-dynamic-range images, which reduces the contrast while preserving detail. It is based on a two-scale decomposition of the image ...
Frédo Durand, Julie Dorsey
FS
2010
148views more  FS 2010»
13 years 6 months ago
Option hedging for small investors under liquidity costs
Following the framework of C¸etin, Jarrow and Protter [4] we study the problem of super-replication in presence of liquidity costs under additional restrictions on the gamma of th...
Umut Çetin, H. Mete Soner, Nizar Touzi
IJRR
2010
162views more  IJRR 2010»
13 years 6 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...