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AROBOTS
1999
104views more  AROBOTS 1999»
13 years 10 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
JSAC
2011
159views more  JSAC 2011»
13 years 5 months ago
An Anti-Jamming Stochastic Game for Cognitive Radio Networks
—Various spectrum management schemes have been proposed in recent years to improve the spectrum utilization in cognitive radio networks. However, few of them have considered the ...
Beibei Wang, Yongle Wu, K. J. Ray Liu, T. Charles ...
BNCOD
2009
125views Database» more  BNCOD 2009»
13 years 8 months ago
The Adaptation Model of a Runtime Adaptable DBMS
Nowadays maintenance of database management systems (DBMSs) often requires offline operations for enhancement of functionality or security updates. This hampers the availability of...
Florian Irmert, Thomas Fischer, Frank Lauterwald, ...

Publication
209views
13 years 8 months ago
Adaptive beamforming method based on constrained LMS algorithm for tracking mobile user
In this paper, Constrained Least Mean Square (CLMS) algorithm for narrowband adaptive beamforming for tracking mobile user in a 2D urban environment has been used. This algorithm i...
Peyman Rahmati
CVPR
2011
IEEE
13 years 7 months ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han