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NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 5 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
ALGOSENSORS
2004
Springer
14 years 26 days ago
WiseMAC: An Ultra Low Power MAC Protocol for Multi-hop Wireless Sensor Networks
WiseMAC is a medium access control protocol designed for wireless sensor networks. This protocol is based on non-persistent CSMA and uses the preamble sampling technique to minimiz...
Amre El-Hoiydi, Jean-Dominique Decotignie
ICDCN
2009
Springer
14 years 2 months ago
Byzantine-Resilient Convergence in Oblivious Robot Networks
Given a set of robots with arbitrary initial location and no agreement on a global coordinate system, convergence requires that all robots asymptotically approach the exact same, ...
Zohir Bouzid, Maria Gradinariu Potop-Butucaru, S&e...
SC
2003
ACM
14 years 21 days ago
Scalable Hardware-Based Multicast Trees
This paper presents an algorithm for implementing optimal hardware-based multicast trees, on networks that provide hardware support for collective communication. Although the prop...
Salvador Coll, José Duato, Fabrizio Petrini...
JSAC
2007
140views more  JSAC 2007»
13 years 7 months ago
Cross-layer resource allocation over wireless relay networks for quality of service provisioning
— We propose a physical-datalink cross-layer resource allocation scheme over wireless relay networks for quality-ofservice (QoS) guarantees. By integrating information theory wit...
Jia Tang, Xi Zhang