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156
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JMLR
2006
153views more  JMLR 2006»
15 years 5 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
AISADM
2005
Springer
15 years 11 months ago
Evolving Agents: Communication and Cognition
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Leonid I. Perlovsky
143
Voted
ESAW
2008
Springer
15 years 7 months ago
Contribution to the Control of a MAS's Global Behaviour: Reinforcement Learning Tools
Reactive multi-agent systems present global behaviours uneasily linked to their local dynamics. When it comes to controlling such a system, usual analytical tools are difficult to ...
François Klein, Christine Bourjot, Vincent ...
AAAI
1998
15 years 7 months ago
Applying Online Search Techniques to Continuous-State Reinforcement Learning
In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
Scott Davies, Andrew Y. Ng, Andrew W. Moore
ATAL
2006
Springer
15 years 9 months ago
Using CHI-scores to reward honest feedback from repeated interactions
Online communities increasingly rely on reputation information to foster cooperation and deter cheating. As rational agents can often benefit from misreporting their observations,...
Radu Jurca, Boi Faltings