{"total":7,"rows":[{"id":"2304.00765","title":"Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents","created":"2023-04-03","cited_by_count":16,"area":null},{"id":"2311.02129","title":"Hierarchical Reinforcement Learning for Power Network Topology Control","created":"2023-11-03","cited_by_count":11,"area":null},{"id":"2510.22048","title":"PF$\\Delta$: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations","created":"2025-10-24","cited_by_count":7,"area":null},{"id":"2502.08681","title":"Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control","created":"2025-02-12","cited_by_count":5,"area":null},{"id":"2401.09640","title":"Blackout Mitigation via Physics-guided RL","created":"2024-01-17","cited_by_count":3,"area":null},{"id":"2501.07186","title":"Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations","created":"2025-01-13","cited_by_count":2,"area":null},{"id":"2510.20591","title":"Transferable Graph Learning for Transmission Congestion Management via Busbar Splitting","created":"2025-10-23","cited_by_count":0,"area":null}],"next_cursor":null}