A new no-prior-knowledge model-free algorithm achieves O~( |S||A| ||h*||^2_sp / eps^2 ) sample complexity for weakly communicating average-reward MDPs, matching the lower bound up to a factor ||h*||_sp.
G., Munos, R., and Kappen, H
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Near-Optimal Sample Complexity for MDPs via Anchoring
A new no-prior-knowledge model-free algorithm achieves O~( |S||A| ||h*||^2_sp / eps^2 ) sample complexity for weakly communicating average-reward MDPs, matching the lower bound up to a factor ||h*||_sp.