1236 search results - page 198 / 248 » Opposition-Based Reinforcement Learning |
IROS
2008
IEEE
14 years 4 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 4 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 3 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 3 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 ...
ICRA
2003
IEEE
14 years 3 months ago
2003
IEEE
− A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two ...