Grid-2Op

Grid2Op is a benchmark suite for evaluating reinforcement learning approaches in power grid operation, containing simulated environments that model various grid scenarios and operational challenges.

Papers using Grid-2Op (5)

State and Action Factorization in Power Grids2024Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents2024RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors2024Power Grid Control with Graph-Based Distributed Reinforcement Learning2025Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation2026