5757 search results - page 374 / 1152 » Dynamic Policy Programming |
194
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ROBOCUP
2007
Springer
16 years 26 days ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
167
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AINA
2006
IEEE
16 years 24 days ago
2006
IEEE
The automatic integration of devices into dynamic, automatically configured networks alone does not take advantage of the entire potential of Service Oriented Architectures (SOA)...
172
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DATE
2005
IEEE
16 years 11 days ago
2005
IEEE
With the scaling of technology and higher requirements on performance and functionality, power dissipation is becoming one of the major design considerations in the development of...
172
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ISLPED
2003
ACM
16 years 1 hour ago
2003
ACM
Power will be the key limiter to system scalability as interconnection networks take up an increasingly significant portion of system power. In this paper, we propose an architec...
183
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NOMS
2002
IEEE
15 years 11 months ago
2002
IEEE
We present here a framework together with a set of paradigms for mobile agent based active monitoring of network systems. In our framework mobile agents are used to perform remote...