Computer Science - Computer Science and Game Theory
We study the fair allocation of indivisible goods among a group of agents,
aiming to limit the envy between any two agents. The central open problem in
this literature, which has proven to be extremely challenging, is regarding the
existence of an EFX allocation, i.e., an allocation such that any envy from
some agent i toward another agent j would vanish if we were to remove any
single good from the bundle allocated to j. When the agents' valuations are
additive, which has been the main focus of prior works, Chaudhury et al. [2024]
showed that an EFX allocation is guaranteed to exist for all instances
involving up to three agents. Subsequently, Berger et al. [2022] extended this
guarantee to nice-cancelable valuations and Akrami et al. [2023] to
MMS-feasible valuations. However, the existence of EFX allocations for
instances involving four agents remains open, even for additive valuations. We
contribute to this literature by focusing on EF2X, a relaxation of EFX which
requires that any envy toward some agent vanishes if any two of the goods
allocated to that agent were to be removed. Our main result shows that EF2X
allocations are guaranteed to exist for any instance with four agents, even for
the class of cancelable valuations, which is more general than additive. Our
proof is constructive, proposing an algorithm that computes such an allocation
in pseudopolynomial time. Furthermore, for instances involving three agents we
provide an algorithm that computes an EF2X allocation in polynomial time, in
contrast to EFX, for which the fastest known algorithm for three agents is only
pseudopolynomial.
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Details
Title
EF2X Exists For Four Agents
Creators
Arash Ashuri
Vasilis Gkatzelis
Alkmini Sgouritsa
Resource Type
Preprint
Language
English
Academic Unit
Computer Science (Computing)
Other Identifier
991021970099604721
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