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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
13 years 11 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
RTSS
2005
IEEE
13 years 11 months ago
Voltage Scaling Scheduling for Periodic Real-Time Tasks in Reward Maximization
— This paper is interested in reward maximization of periodic real-time tasks under a given energy constraint, where the reward received depends on how much computation a task ru...
Jian-Jia Chen, Tei-Wei Kuo
ICISS
2009
Springer
14 years 23 hour ago
Making Peer-Assisted Content Distribution Robust to Collusion Using Bandwidth Puzzles
Many peer-assisted content-distribution systems reward a peer based on the amount of data that this peer serves to others. However, validating that a peer did so is, to our knowled...
Michael K. Reiter, Vyas Sekar, Chad Spensky, Zheng...
ECRTS
2000
IEEE
13 years 10 months ago
Tolerating faults while maximizing reward
The imprecise computation(IC) model is a general scheduling framework, capable of expressing the precision vs. timeliness trade-off involved in many current real-time applications...
Hakan Aydin, Rami G. Melhem, Daniel Mossé
SIGECOM
2006
ACM
125views ECommerce» more  SIGECOM 2006»
13 years 11 months ago
Minimum payments that reward honest reputation feedback
Online reputation mechanisms need honest feedback to function effectively. Self interested agents report the truth only when explicit rewards offset the cost of reporting and th...
Radu Jurca, Boi Faltings