https://github.com/morningstartm/metamarl4gridtopo

Research implementation of Meta-Learning (MAML) in Multi-Agent Reinforcement Learning (MARL) for power grid control using L2RPN. This project explores how meta-learning can improve agent adaptation across varying grid topologies and operational scenarios, aiming for safer and more efficient grid management.

grid2op hierarchical-reinforcement-learning l2rpn maml meta-learning multi-agent-reinforcement-learning power-grid reinforcement-learning

Last synced: 18 May 2026