98 search results - page 7 / 20 » Hierarchical multi-agent reinforcement learning |
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
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...
ILP
2000
Springer
13 years 11 months ago
2000
Springer
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
CORR
2000
Springer
13 years 7 months ago
2000
Springer
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
ECML
2004
Springer
14 years 27 days ago
2004
Springer
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
ML
2008
ACM
13 years 7 months ago
2008
ACM
