Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks.
Xiaojing ZhangMonimoy BujarbaruahFrancesco BorrelliPublished in: ACC (2019)
Keyphrases
- optimal policy
- neural network
- reinforcement learning
- primal dual
- state space
- model predictive control
- learning algorithm
- linear programming
- dynamic programming
- convergence rate
- infinite horizon
- state dependent
- decision making
- least squares
- sufficient conditions
- multistage
- knapsack problem
- convex optimization
- expert systems