949 search results - page 70 / 190 » Can Doxastic Agents Learn |
ATAL
2007
Springer
15 years 7 months ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
121
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ATAL
2006
Springer
15 years 4 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...
106
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ECAI
2000
Springer
15 years 5 months ago
2000
Springer
There are two major approaches to activity coordination in multiagent systems. First, by endowing the agents with the capability to jointly plan, that is, to jointly generate hypot...
120
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ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
108
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ICML
1999
IEEE
15 years 5 months ago
1999
IEEE
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...