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ACSC
2009
IEEE
14 years 4 months ago
The Impact of Quanta on the Performance of Multi-level Time Sharing Policy under Heavy-tailed Workloads
Recent research indicates that modern computer workloads (e.g. processing time of web requests) follow heavy-tailed distributions. In a heavy-tailed distribution there are a large...
Malith Jayasinghe, Zahir Tari, Panlop Zeephongseku...
JAIR
2002
99views more  JAIR 2002»
13 years 9 months ago
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
Designing the dialogue policy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing a di...
Satinder P. Singh, Diane J. Litman, Michael J. Kea...
SIGMETRICS
2008
ACM
118views Hardware» more  SIGMETRICS 2008»
13 years 9 months ago
Finding the optimal quantum size: Sensitivity analysis of the M/G/1 round-robin queue
We consider the round robin (RR) scheduling policy where the server processes each job in its buffer for at most a fixed quantum, q, in a round-robin fashion. The processor sharin...
Varun Gupta
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
14 years 4 months ago
Optimal sensor activation in controlled discrete event systems
— The problem of sensor activation in a controlled discrete event system is considered. Sensors are assumed to be costly and can be turned on/off during the operation of the syst...
Weilin Wang, Stéphane Lafortune, Feng Lin
NIPS
2008
13 years 11 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake