most citedWhen to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter

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cs.MA2022★ 1 cited

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems

Sihong He, Yue Wang, Shuo Han +2

Electric vehicles (EVs) play critical roles in autonomous mobility-on-demand (AMoD) systems, but their unique charging patterns increase the model uncertainties in AMoD systems (e.…