Model-free Predictive Optimal Iterative Learning Control using Reinforcement Learning.
Yueqing ZhangBing ChuZhan ShuPublished in: ACC (2022)
Keyphrases
- model free
- reinforcement learning
- iterative learning control
- reinforcement learning algorithms
- function approximation
- temporal difference
- average reward
- optimal control
- dynamic programming
- policy iteration
- state space
- rl algorithms
- iterative learning
- temporal difference learning
- policy evaluation
- artificial neural networks
- neural network