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AI
1998
Springer
13 years 9 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
TPDS
2010
159views more  TPDS 2010»
13 years 8 months ago
Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks
The circular sensing model has been widely used to estimate performance of sensing applications in existing analysis and simulations. While this model provides valuable high-level...
Joengmin Hwang, Tian He, Yongdae Kim
MASS
2010
248views Communications» more  MASS 2010»
13 years 7 months ago
Adaptive exploitation of cooperative relay for high performance communications in MIMO ad hoc networks
With the popularity of wireless devices and the increase of computing and storage resources, there are increasing interests in supporting mobile computing techniques. Particularly...
Shan Chu, Xin Wang
HPCC
2009
Springer
13 years 7 months ago
Graph-Based Task Replication for Workflow Applications
Abstract--The Grid is an heterogeneous and dynamic environment which enables distributed computation. This makes it a technology prone to failures. Some related work uses replicati...
Raúl Sirvent, Rosa M. Badia, Jesús L...
CORR
2012
Springer
210views Education» more  CORR 2012»
12 years 5 months ago
Stability of the Max-Weight Protocol in Adversarial Wireless Networks
In this paper we consider the MAX-WEIGHT protocol for routing and scheduling in wireless networks under an adversarial model. This protocol has received a significant amount of a...
Sungsu Lim, Kyomin Jung, Matthew Andrews