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ATAL
2005
Springer
15 years 4 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ICPP
2009
IEEE
15 years 5 months ago
Run to Potential: Sweep Coverage in Wireless Sensor Networks
—Wireless sensor networks have become a promising technology in monitoring physical world. In many applications with wireless sensor networks, it is essential to understand how w...
Min Xi, Kui Wu, Yong Qi, Jizhong Zhao, Yunhao Liu,...
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IPPS
2008
IEEE
15 years 5 months ago
A game theoretical data replication technique for mobile ad hoc networks
Adaptive replication of data items on servers of a mobile ad hoc network can alleviate access delays. The selection of data items and servers requires solving a constrained optimi...
Samee Ullah Khan, Anthony A. Maciejewski, Howard J...
HIS
2008
15 years 13 days ago
A GRASP Algorithm Using RNN for Solving Dynamics in a P2P Live Video Streaming Network
In this paper, we present an algorithm based on the GRASP metaheuristic for solving a dynamic assignment problem in a P2P network designed for sending real-time video over the Int...
Marcelo Martínez, Alexis Morón, Fran...
ICC
2008
IEEE
175views Communications» more  ICC 2008»
15 years 5 months ago
Routing in Cooperative Wireless Networks with Mutual-Information Accumulation
Cooperation between the nodes of wireless multihop networks can increase communication reliability, reduce energy consumption, and decrease latency. The possible improvements are ...
Stark C. Draper, Lingjia Liu, Andreas F. Molisch, ...