Online and stochastic variants of welfare maximization

Computer Science – Data Structures and Algorithms

Scientific paper

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Scientific paper

We prove that there is no $(1/2+\Omega(1))$-competitive algorithm (even randomized, against an oblivious adversary) for online welfare maximization with coverage valuations, unless $NP = RP$. On the other hand, we prove that the greedy algorithm in a stochastic setting with valuations satisfying diminishing returns is $(1-1/e)$-competitive, which is optimal even for coverage valuations, unless $NP=RP$.

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