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» Asymmetric Multiagent Reinforcement Learning
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ATAL
2006
Springer
13 years 8 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer
AGENTS
2000
Springer
13 years 9 months ago
Adaptivity in agent-based routing for data networks
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
David Wolpert, Sergey Kirshner, Christopher J. Mer...
ATAL
2003
Springer
13 years 10 months ago
Team formation and communication restrictions in collectives
A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...
Adrian K. Agogino, Kagan Tumer
ATAL
2009
Springer
13 years 11 months ago
Comparing trust mechanisms for monitoring aggregator nodes in sensor networks
Sensor nodes are often used to collect data from locations inaccessible or hazardous for humans. As they are not under normal supervision, these nodes are particularly susceptible...
Oly Mistry, Anil Gürsel, Sandip Sen