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ICML
2005
IEEE
14 years 9 months ago
Recycling data for multi-agent learning
Learning agents can improve performance cooperating with other agents, particularly learning agents forming a committee outperform individual agents. This "ensemble effect&qu...
Santiago Ontañón, Enric Plaza
ATAL
2003
Springer
14 years 2 months ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
IJKL
2007
90views more  IJKL 2007»
13 years 9 months ago
Semantics-supported cooperative learning for enhanced awareness
: Awareness is required for supporting all forms of cooperation. In Computer Supported Collaborative Learning (CSCL), awareness can be used for enhancing collaborative opportunitie...
César A. Collazos, Roberto Garcia
ATAL
2008
Springer
13 years 11 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
IJCAI
2003
13 years 10 months ago
Improving Coevolutionary Search for Optimal Multiagent Behaviors
Evolutionary computation is a useful technique for learning behaviors in multiagent systems. Among the several types of evolutionary computation, one natural and popular method is...
Liviu Panait, R. Paul Wiegand, Sean Luke