HPC-RL is a two-level reinforcement learning scheduler that solves grid power-flow constraints at the top and per-car charging deadlines at the bottom, yielding fast near-optimal V2G schedules.
Route planning for a fleet of electric vehicles with waiting times at charging stations,
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Hierarchical Constrained Reinforcement Learning with Dynamic Boundary for Spatio-Temporal Vehicle-to-Grid Scheduling
HPC-RL is a two-level reinforcement learning scheduler that solves grid power-flow constraints at the top and per-car charging deadlines at the bottom, yielding fast near-optimal V2G schedules.