Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach

no code implementations • 4 Jan 2024 • Sungwook Yang, Chaoying Pei, Ran Dai, Chuangchuang Sun

Many machine learning-based works proposed to improve MPC by a) learning or fine-tuning the dynamics/ cost function, or b) learning to optimize for the update of the MPC controllers.

Imitation Learning Meta Reinforcement Learning +2