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Strategyproof Deep Reinforcement Learning for Online Resource Allocation

Dehghan, Fariba et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-science-and-game-theorymultiagent-systems
Online resource allocation faces two coupled challenges: (1) allocating scarce resources efficiently under uncertain future demand, and (2) ensuring that agents report task valuations and requirements truthfully (strategyproofness). Reinforcement Learning (RL) adapts allocation decisions through exp
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