Learning from Multiple Sources
This work aims at defining and testing a set of techniques that enables agents to use information from several sources during learning. In Multiagent Systems (MAS) it is frequent that several agents need to learn similar concepts in parallel. In this type of environment there are more possibilities...
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| Format: | conferenceObject |
| Language: | eng |
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2013
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| Online Access: | http://hdl.handle.net/10071/5325 |
| Country: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/5325 |