Fig. 1: The bi-level planning-optimization framework.
From: Adaptive hierarchical learning for uncertainty-aware distributed energy resource planning
The framework depicts the adaptive hierarchical learning framework, featuring a bi-level Stackelberg structure where the upper level employs MCTS for planning and the lower level uses multi-agent reinforcement learning for operational optimization under partial observability.
