170 search results - page 25 / 34 » Heuristic Selection of Actions in Multiagent Reinforcement L... |
GLOBECOM
2009
IEEE
13 years 5 months ago
2009
IEEE
Abstract--Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in ...
IJHIS
2006
13 years 7 months ago
2006
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
ICRA
2010
IEEE
13 years 5 months ago
2010
IEEE
Reliable and efficient navigation with a humanoid robot is a difficult task. First, the motion commands are executed rather inaccurately due to backlash in the joints or foot slipp...
AAAI
2010
13 years 8 months ago
2010
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...
AAMAS
2007
Springer
14 years 1 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...