89 search results - page 3 / 18 » Multiagent Systems: A Survey from a Machine Learning Perspec... |
NIPS
2003
13 years 6 months ago
2003
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efï¬...
CLIMA
2004
13 years 6 months ago
2004
Abstract. This paper deals with the issue of learning in multi-agent systems (MAS). Particularly, we are interested in BDI (Belief, Desire, Intention) agents. Despite the relevance...
ICEIS
2005
IEEE
13 years 11 months ago
2005
IEEE
Electrical and mechanical equipment such as gearboxes in an industrial robot or electronic circuits in an industrial printer sometimes fail to operate as intended. The faulty compo...
ENC
2004
IEEE
13 years 9 months ago
2004
IEEE
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...
AAAI
1998
13 years 6 months ago
1998
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...