Sciweavers

Share
ATAL
2008
Springer

Using adaptive consultation of experts to improve convergence rates in multiagent learning

8 years 4 months ago
Using adaptive consultation of experts to improve convergence rates in multiagent learning
In this paper we study the use of experts algorithms in a multiagent setting. In this paper we allow agents to use multiple experts and explore different experts algorithms that allow agents to adaptively decide which expert to consult. By doing so, agents can further improve the learning process and are better able to deal with new games and situations.
Greg Hines, Kate Larson
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where ATAL
Authors Greg Hines, Kate Larson
Comments (0)
books