Reinforcement Learning-Based Nearly Optimal Control for Constrained-Input Partially Unknown Systems Using Differentiator.
Xinxin GuoWeisheng YanRongxin CuiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- optimal control
- reinforcement learning
- control problems
- dynamic programming
- feedback control
- class of nonlinear systems
- optimal control problems
- risk sensitive
- control strategy
- machine learning
- state space
- learning algorithm
- real time
- function approximation
- infinite horizon
- model free
- optimal policy
- brownian motion
- policy gradient
- control system
- stochastic control
- hamilton jacobi bellman