Poster
Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations
Hannaneh Akrami · Kurt Mehlhorn · Masoud Seddighin · Golnoosh Shahkarami
Great Hall & Hall B1+B2 (level 1) #2019
Abstract:
We consider the problem of guaranteeing maximin-share () when allocating a set of indivisible items to a set of agents with fractionally subadditive () valuations. For valuations, it has been previously shown that for some instances no allocation can guarantee a fraction better than of maximin-share to all the agents. Also, a deterministic allocation exists that guarantees of the maximin-share of each agent. Our results involve both deterministic and randomized allocations. On the deterministic side, we improve the best approximation guarantee for fractionally subadditive valuations to . We develop new ideas on allocating large items in our allocation algorithm which might be of independent interest. Furthermore, we investigate randomized algorithms and the Best-of-both-worlds fairness guarantees. We propose a randomized allocation that is - ex-ante and - ex-post for valuations. Moreover, we prove an upper bound of on the ex-ante guarantee for this class of valuations.
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