A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services

arXiv:2403.15780v1 Announce Type: cross
Abstract: As Machine Learning systems become increasingly popular across diverse application domains, including those with direct human implications, the imperative of equity and algorithmic fairness has risen to prominence in the Artificial Intelligence community. On the other hand, in the context of Shared Micromobility Systems, the exploration of fairness-oriented approaches remains limited. Addressing this gap, we introduce a pioneering investigation into the balance between performance optimization and algorithmic fairness in the operation and control of Shared …

abstract algorithmic fairness application artificial artificial intelligence arxiv become community context control cs.lg cs.sy diverse domains eess.sy equity fairness human intelligence learning systems machine machine learning micromobility popular reinforcement reinforcement learning services systems type