{"total":9,"rows":[{"id":"2103.03104","title":"Learning to run a Power Network Challenge: a Retrospective Analysis","created":"2021-03-02","cited_by_count":55,"area":null},{"id":"2211.05612","title":"Power Grid Congestion Management via Topology Optimization with AlphaZero","created":"2022-11-10","cited_by_count":20,"area":null},{"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":"2110.08956","title":"Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training","created":"2021-10-18","cited_by_count":8,"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":"2212.06001","title":"Reinforcement Learning and Tree Search Methods for the Unit Commitment Problem","created":"2022-12-12","cited_by_count":1,"area":null},{"id":"2411.18050","title":"RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors","created":"2024-11-27","cited_by_count":1,"area":null}],"next_cursor":null}