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» Multiagent learning in adaptive dynamic systems
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ATAL
2003
Springer
14 years 27 days 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
IJMMS
1998
74views more  IJMMS 1998»
13 years 7 months ago
Towards collaborative and adversarial learning: a case study in robotic soccer
Soccer is a rich domain for the study of multiagent learning issues. Not only must the players learn low-level skills, but they must also learn to work together and to adapt to th...
Peter Stone, Manuela M. Veloso
MAAMAW
1994
Springer
13 years 11 months ago
A Multi-Agent Approach to Dynamic, Adaptive Scheduling of Material Flow
Advanced manufacturing control still remains an important topic in current research. Especially aspects of dynamics and of failures in the production process are insufficiently ta...
Stefan Bussmann
ATAL
2007
Springer
14 years 1 months ago
Regret based dynamics: convergence in weakly acyclic games
Regret based algorithms have been proposed to control a wide variety of multi-agent systems. The appeal of regretbased algorithms is that (1) these algorithms are easily implement...
Jason R. Marden, Gürdal Arslan, Jeff S. Shamm...
ATAL
2003
Springer
13 years 11 months ago
Agent memory and adaptation in multi-agent systems
We describe a general mechanism for adaptation in multiagent systems in which agents modify their behavior based on their memory of past events. These behavior changes can be elic...
Kristina Lerman, Aram Galstyan