250 search results - page 1 / 50 » Multiagent reinforcement learning and self-organization in a... |
IAT
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
AIIDE
2006
13 years 6 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
ATAL
2004
Springer
13 years 10 months ago
2004
Springer
In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ ability to conf...
ATAL
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ abilit...
IJCAI
2007
13 years 6 months ago
2007
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...