activity
20222026
most citedMomentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments

1 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

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.…