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» Multiagent learning using a variable learning rate
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AAMAS
2007
Springer
13 years 9 months ago
Shaping multi-agent systems with gradient reinforcement learning
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
Olivier Buffet, Alain Dutech, François Char...
EPIA
2005
Springer
14 years 2 months ago
Learning to Select Negotiation Strategies in Multi-agent Meeting Scheduling
In this paper, we look at the Multi-Agent Meeting Scheduling problem where distributed agents negotiate meeting times on behalf of their users. While many negotiation approaches ha...
Elisabeth Crawford, Manuela M. Veloso
ATAL
2010
Springer
13 years 10 months ago
Learning multi-agent state space representations
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 ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
ALT
1997
Springer
14 years 11 days ago
Learning One-Variable Pattern Languages Very Efficiently on Average, in Parallel, and by Asking Queries
A pattern is a string of constant and variable symbols. The language generated by a pattern is the set of all strings of constant symbols which can be obtained from by substituti...
Thomas Erlebach, Peter Rossmanith, Hans Stadtherr,...
ATAL
2006
Springer
14 years 16 days ago
Learning to cooperate in multi-agent social dilemmas
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...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...