Regulating autonomous mobility-on-demand operators with fixed and adaptive penalties; a multi-agent reinforcement learning approach
Read the original at arxiv.org→arXiv:2611.07122v1 Announce Type: new Abstract: Profit-maximizing Autonomous Mobility-on-Demand (AMoD) operators may exploit consumer surplus through excessive prices and underserve less profitable regions by...
Original headline: "Regulating Autonomous Mobility-on-Demand Operators with Fixed and Adaptive Penalties: A Multi-Agent Reinforcement Learning Approach"
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- Nov 6, 05:00 UTC arXiv cs.LG lead source Regulating Autonomous Mobility-on-Demand Operators with Fixed and Adaptive Penalties: A Multi-Agent Reinforcement Learning Approach