PACMAB is a perception-aware two-sided learning framework for multi-platform mobile crowdsensing that models the setting as a dynamic hypergame and achieves at least 41% more completed tasks than benchmarks in simulations without assuming complete information.
Decentralized online learning in task assignment games for mobile crowdsensing,
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Dynamic Hypergame for Task Assignment in Multi-platform Mobile Crowdsensing Under Incomplete Information
PACMAB is a perception-aware two-sided learning framework for multi-platform mobile crowdsensing that models the setting as a dynamic hypergame and achieves at least 41% more completed tasks than benchmarks in simulations without assuming complete information.