Multi-Agent Learning Methods in an Uncertain Environment

Learning in multi-agent environments constitutes a research and application area whose importance is broadly acknowledged in artificial intelligence. There is a rapidly growing body of literature on multi-agent learning. In this paper, the multi-agent learning methods in an uncertain environment are addressed. The presented methods are not exhaustive, but they highlight the major methods used by researchers in past years. keywords: multi-agent learning, reinforcement learning, Profit-sharing , MDP