2178 search results - page 169 / 436 » Problems of learning in multi-agent systems |
133
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FOCS
2006
IEEE
15 years 10 months ago
2006
IEEE
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
159
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ATAL
2008
Springer
15 years 6 months ago
2008
Springer
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
132
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ATAL
2010
Springer
15 years 5 months ago
2010
Springer
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
133
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
162
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ATAL
2008
Springer
15 years 6 months ago
2008
Springer
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...