1863 search results - page 4 / 373 » Multiagent learning using a variable learning rate |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper experimentally evaluates multiagent learning algorithms playing repeated matrix games to maximize their cumulative return. Previous works assessed that Qlearning surpas...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In non-cooperative multi-agent situations, there cannot exist a globally optimal, yet opponent-independent learning algorithm. Regret-minimization over a set of strategies optimiz...
IAT
2003
IEEE
14 years 25 days ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
ESAW
2008
Springer
13 years 9 months ago
2008
Springer
Reactive multi-agent systems present global behaviours uneasily linked to their local dynamics. When it comes to controlling such a system, usual analytical tools are difficult to ...
AR
2008
13 years 7 months ago
2008
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...