167 search results - page 2 / 34 » Incremental reinforcement learning for designing multi-agent... |
ICMAS
1998
13 years 7 months ago
1998
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
AGENTS
2001
Springer
13 years 10 months ago
2001
Springer
AAMAS
2005
Springer
13 years 5 months ago
2005
Springer
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
AAAI
2010
13 years 7 months ago
2010
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
ATAL
2004
Springer
13 years 11 months ago
2004
Springer
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...