Research on Hierarchical Multi-Agent Reinforcement Learning for Power Grid Topology Control (L2RPN). This project explores hierarchical MARL architectures, regional agents, and tutor-guided training for stabilizing power grids using the Grid2Op environment.
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Research on Hierarchical Multi-Agent Reinforcement Learning for Power Grid Topology Control (L2RPN). This project explores hierarchical MARL architectures, regional agents for stabilizing power grids using the Grid2Op environment.
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MorningStarTM/H-MARL4PowerGridTopo
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Research on Hierarchical Multi-Agent Reinforcement Learning for Power Grid Topology Control (L2RPN). This project explores hierarchical MARL architectures, regional agents for stabilizing power grids using the Grid2Op environment.
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