Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR

Leonardo F. Toso, Donglin Zhan, James Anderson +1

We investigate the problem of learning linear quadratic regulators (LQR) in a multi-task, heterogeneous, and model-free setting. We characterize the stability and personalization g…