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CN
2002
106views more  CN 2002»
15 years 1 months ago
Quality of service and flow level admission control in the Internet
We propose to apply an integrated admission control scheme to both streaming flows and elastic flows. It is assumed that streaming flow packets are served with priority in network...
Nabil Benameur, Slim Ben Fredj, Sara Oueslati-Boul...
FLAIRS
2001
15 years 3 months ago
Probabilistic Planning for Behavior-Based Robots
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Amin Atrash, Sven Koenig
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
15 years 7 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
ICRA
1998
IEEE
141views Robotics» more  ICRA 1998»
15 years 6 months ago
On Discontinuous Human Control Strategies
Models of human control strategy (HCS), which accurately emulate dynamic human behavior, have far reaching potential in areas ranging from robotics to virtual reality to the intel...
Michael C. Nechyba, Yangsheng Xu
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 6 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn