2864 search results - page 336 / 573 » Coordination of Many Agents |
176
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IWANN
1999
Springer
15 years 11 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
188
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ATAL
2006
Springer
15 years 10 months ago
2006
Springer
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
180
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ATAL
1997
Springer
15 years 10 months ago
1997
Springer
The Procedural Reasoning System (PRS) is the best established agent architecture currently available. It has been deployed in many major industrial applications, ranging from fault...
201
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AAMAS
2012
Springer
14 years 2 months ago
2012
Springer
In multiagent settings where agents have different preferences, preference aggregation can be an important issue. Voting is a general method to aggregate preferences. We consider ...
203
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TASE
2008
IEEE
15 years 6 months ago
2008
IEEE
In this paper, we focus on mechanism design for single leader Stackelberg problems, which are a special case of hierarchical decision making problems in which a distinguished agent...