99 search results - page 17 / 20 » A Reinforcement Learning Approach for Multiagent Navigation |
ATAL
2010
Springer
14 years 11 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
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ATAL
2006
Springer
15 years 1 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...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
ATAL
2004
Springer
15 years 3 months ago
2004
Springer
Multi-agent research often borrows from biology, where remarkable examples of collective intelligence may be found. One interesting example is ant colonies’ use of pheromones as...
ISPE
2003
14 years 11 months ago
2003
A two stage approach to co-ordination in a multi-agent society is presented. The first stage involves agents learning to co-ordinate their activities based on local and global uti...