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ICML
2006
IEEE
16 years 7 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
ICC
2009
IEEE
162views Communications» more  ICC 2009»
16 years 1 months ago
Distributed Uplink Signal Processing of Cooperating Base Stations Based on IQ Sample Exchange
—Cellular systems in general suffer from co-channel interference, when simultaneous transmissions in other cells use the same physical resources. In order to mitigate such co-cha...
Christian Hoymann, Laetitia Falconetti, Rohit Gupt...
ATAL
2009
Springer
16 years 28 days ago
Solving multiagent assignment Markov decision processes
We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
Scott Proper, Prasad Tadepalli
ISVLSI
2006
IEEE
104views VLSI» more  ISVLSI 2006»
16 years 11 days ago
Adaptive Signal Processing in Mixed-Signal VLSI with Anti-Hebbian Learning
We describe analog and mixed-signal primitives for implementing adaptive signal-processing algorithms in VLSI based on anti-Hebbian learning. Both on-chip calibration techniques a...
Miguel Figueroa, Esteban Matamala, Gonzalo Carvaja...
HOTI
2005
IEEE
15 years 12 months ago
Hybrid Cache Architecture for High Speed Packet Processing
: The exposed memory hierarchies employed in many network processors (NPs) are expensive in terms of meeting the worst-case processing requirement. Moreover, it is difficult to ef...
Zhen Liu, Kai Zheng, Bin Liu