{"total":8,"rows":[{"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":"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":"2504.16133","title":"A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures","created":"2025-04-21","cited_by_count":2,"area":null},{"id":"2302.07654","title":"Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control","created":"2023-02-15","cited_by_count":1,"area":null},{"id":"2505.01156","title":"Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case","created":"2025-05-02","cited_by_count":1,"area":null},{"id":"2310.02605","title":"Multi-Agent Reinforcement Learning for Power Grid Topology Optimization","created":"2023-10-04","cited_by_count":0,"area":null}],"next_cursor":null}