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» Multiagent learning using a variable learning rate
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SIGCSE
2004
ACM
132views Education» more  SIGCSE 2004»
14 years 29 days ago
Using game days to teach a multiagent system class
Multiagent systems is an attractive problem solving approach that is becoming ever more feasible and popular in today’s world. It combines artificial intelligence (AI) and distr...
Leen-Kiat Soh
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 1 months ago
Exploring XCS in multiagent environments
This paper investigates the adaptability of XCS in four different multiagent environments. The environments are realized in a simplified soccer game, and they include (1) singlea...
Hiroyasu Inoue, Keiki Takadama, Katsunori Shimohar...
ATAL
2008
Springer
13 years 9 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
ICCV
2011
IEEE
12 years 7 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
ATAL
2007
Springer
14 years 1 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek