Interpretable Policy Distillation for Power Grid Topology Control

Aleksandra Dmitruka, Karlis Freivalds

Deep reinforcement learning (RL) offers a promising route to real-time power grid operation, yet large neural policies are costly to evaluate, hard to deploy on constrained hardwar…