All learning is local: Multi-agent learning in global reward games

In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efficient algorithm that in part uses a linear system to model the world from a single agent’s limited perspective, and takes...

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Bibliographic Details
Main Authors: Chang, Yu-Han, Ho, Tracey, Kaelbling, Leslie P.
Format: Article
Language:en_US
Published: 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/3851