1233 search results - page 165 / 247 » Feudal Reinforcement Learning |
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
IROS
2008
IEEE
14 years 2 months ago
2008
IEEE
—Dynamic system-based motor primitives [1] have enabled robots to learn complex tasks ranging from Tennisswings to locomotion. However, to date there have been only few extension...
AAMAS
2007
Springer
14 years 2 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
LAMAS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...