A two-layer distributed RL system with one GNN-observing agent per power line and a learned manager keeps the Grid2Op case14 grid alive far longer than the do-nothing baseline.
Learning to run a power network challenge: a retrospective analysis
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Power Grid Control with Graph-Based Distributed Reinforcement Learning
A two-layer distributed RL system with one GNN-observing agent per power line and a learned manager keeps the Grid2Op case14 grid alive far longer than the do-nothing baseline.