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AIPS
1998
13 years 10 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim
INFOCOM
2005
IEEE
14 years 2 months ago
Fairness and optimal stochastic control for heterogeneous networks
— We consider optimal control for general networks with both wireless and wireline components and time varying channels. A dynamic strategy is developed to support all traffic w...
Michael J. Neely, Eytan Modiano, Chih-Ping Li
TROB
2010
129views more  TROB 2010»
13 years 7 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
ICDCSW
2005
IEEE
14 years 2 months ago
Control Theory Optimization of MECN in Satellite Networks
Congestion in the Internet results in wasted bandwidth and also stands in the way of guaranteeing QoS. The effect of congestion is multiplied many fold in Satellite networks, wher...
Arjan Durresi, Mukundan Sridharan, Sriram Chellapp...
ANSS
2004
IEEE
14 years 10 days ago
Markov Model Based Congestion Control for TCP
The Random Early Detection (RED) scheme for congestion control in TCP is well known over a decade. Due to a number of control parameters in RED, it cannot make acceptable packet-d...
Shan Suthaharan