Kaelbling LP, Chang YH, Ho T. (2003). All learning is local: Multi-agent learning in global reward games Advances in neural information processing systems. 16

See more from authors: Kaelbling LP · Chang YH · Ho T

References and models cited by this paper
References and models that cite this paper

Fujita H, Ishii S. (2007). Model-based reinforcement learning for partially observable games with sampling-based state estimation. Neural computation. 19 [PubMed]

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