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» Evolution and learning in multiagent systems
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JETAI
1998
47views more  JETAI 1998»
14 years 9 months ago
Model-based learning of interaction strategies in multi-agent systems
David Carmel, Shaul Markovitch
ATAL
2000
Springer
15 years 2 months ago
An Architectural Framework for Integrated Multiagent Planning, Reacting, and Learning
Abstract. Dyna is a single-agent architectural framework that integrates learning, planning, and reacting. Well known instantiations of Dyna are Dyna-AC and Dyna-Q. Here a multiage...
Gerhard Weiß
AI
2007
Springer
14 years 9 months ago
If multi-agent learning is the answer, what is the question?
The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelligence. We focus on the foundational...
Yoav Shoham, Rob Powers, Trond Grenager
ATAL
2005
Springer
15 years 3 months ago
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Katja Verbeeck, Ann Nowé, Karl Tuyls
ATAL
2003
Springer
15 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