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.

• Type: Conference
• Year: 2008
• Where: ATAL
• Authors: Greg Hines, Kate Larson
• Keywords: ATAL 2008, Experts Algorithms, Intelligent Agents, Multiagent Setting, Multiple Experts