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» Coordinating Multiple Agents via Reinforcement Learning
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CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
14 years 2 months ago
A proximal center-based decomposition method for multi-agent convex optimization
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Ion Necoara, Johan A. K. Suykens
POPL
1990
ACM
13 years 11 months ago
Concurrent Constraint Programming
Abstract. Concurrent constraint programming is a simple but powerful framework for computation based on four basic computational ideas: concurrency (multiple agents are simultaneou...
Vijay A. Saraswat, Martin C. Rinard
ATAL
2006
Springer
13 years 11 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
AAAI
2011
12 years 7 months ago
Tree Sequence Kernel for Natural Language
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capabili...
Jun Sun, Min Zhang, Chew Lim Tan
AGENTS
2000
Springer
14 years 4 hour ago
Automated assistants to aid humans in understanding team behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
Taylor Raines, Milind Tambe, Stacy Marsella